Chatbot Customer Service and Engineering Support Tool

project f512141b7a2a15e1
Normalized: chatbot customer service and engineering support tool
moreland_contracts
Entity Properties (gold project table)
project_id
f512141b7a2a15e1
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Chatbot Customer Service and Engineering Support Tool
client_id
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2026-02-12 05:36:54.288209+00:00
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2026-02-12 05:36:54.288209+00:00
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Development of a Generative AI powered customer service and engineering support tool to reduce repetitive inquiries and empower customer service representatives.
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44%
Separation Confidence How distinct this entity is from others. Higher means no close matches existed when it was created. Lower means a near-match was rejected just below the 80% threshold — worth reviewing.
Moderate — a somewhat similar entity exists
100%
Avg Match Confidence The average confidence score across all active source mappings. Shows overall quality of linkage between source records and this canonical entity.
Strong source linkage

Source Mappings (91)

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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Source Record bronze_moreland_contracts_ma_project_contracts
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Source Record bronze_moreland_contracts_ma_project_contracts
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Jergens, Inc.
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Chatbot Customer Service and Engineering Support Tool
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Matt
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40000.0
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Development of a Generative AI powered customer service and engineering support tool to reduce repetitive inquiries and empower customer service representatives.
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Source Record bronze_moreland_contracts_ma_project_contracts
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Jergens, Inc.
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40000.0
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Source Record bronze_moreland_contracts_ma_project_contracts
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Jergens, Inc.
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40000.0
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Source Record bronze_moreland_contracts_ma_project_contracts
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Source Record bronze_moreland_contracts_ma_project_contracts
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Source Record bronze_moreland_contracts_ma_project_contracts
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Jergens, Inc.
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Source Record bronze_moreland_contracts_ma_project_contracts
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Source Record bronze_moreland_contracts_ma_project_contracts
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Source Record bronze_moreland_contracts_ma_project_contracts
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Source Record bronze_moreland_contracts_ma_project_contracts
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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file_name
Jergens Chatbot Tool - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BC9C3D8EE-59F9-43CA-8B10-1A6BA6F69F89%7D&file=Jergens%20Chatbot%20Tool%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Jergens, Inc.
project_name
Chatbot Customer Service and Engineering Support Tool
contact_person
Matt
contract_type
fixed_fee
hourly_rate
estimated_hours
total_fee_estimate
40000.0
brief_project_description
Development of a Generative AI powered customer service and engineering support tool to reduce repetitive inquiries and empower customer service representatives.
start_date
2025-09-05
extracted_at
2026-04-10T02:03:34.896625+00:00
raw_text_preview
Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
file_created_at
2025-09-05T13:42:57+00:00
file_modified_at
2025-09-05T14:48:29+00:00
created_by
Paul Franke
modified_by
Paul Franke
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moreland_contracts N1FWs2+qJO59XA Chatbot Customer Service and Engineering Support Tool 1.00 exact Active
Source Record bronze_moreland_contracts_ma_project_contracts
file_hash
0eae6ee75baadc6429c173d1934aa17b
file_name
Jergens Chatbot Tool - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BC9C3D8EE-59F9-43CA-8B10-1A6BA6F69F89%7D&file=Jergens%20Chatbot%20Tool%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Jergens, Inc.
project_name
Chatbot Customer Service and Engineering Support Tool
contact_person
Matt
contract_type
fixed_fee
hourly_rate
estimated_hours
total_fee_estimate
40000.0
brief_project_description
Development of a Generative AI powered customer service and engineering support tool to reduce repetitive inquiries and empower customer service representatives.
start_date
extracted_at
2026-04-11T02:03:11.559284+00:00
raw_text_preview
Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
file_created_at
2025-09-05T13:42:57+00:00
file_modified_at
2025-09-05T14:48:29+00:00
created_by
Paul Franke
modified_by
Paul Franke
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moreland_contracts qxSNmJ5/aB8Z0A Chatbot Customer Service and Engineering Support Tool 1.00 exact Active
Source Record bronze_moreland_contracts_ma_project_contracts
file_hash
0eae6ee75baadc6429c173d1934aa17b
file_name
Jergens Chatbot Tool - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BC9C3D8EE-59F9-43CA-8B10-1A6BA6F69F89%7D&file=Jergens%20Chatbot%20Tool%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Jergens, Inc.
project_name
Chatbot Customer Service and Engineering Support Tool
contact_person
Matt
contract_type
fixed_fee
hourly_rate
estimated_hours
total_fee_estimate
40000.0
brief_project_description
Development of a Generative AI powered customer service and engineering support tool to reduce repetitive inquiries and empower customer service representatives.
start_date
2025-09-05
extracted_at
2026-04-12T02:02:52.890873+00:00
raw_text_preview
Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
file_created_at
2025-09-05T13:42:57+00:00
file_modified_at
2025-09-05T14:48:29+00:00
created_by
Paul Franke
modified_by
Paul Franke
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moreland_contracts DhX6HbIZCqiLDA Chatbot Customer Service and Engineering Support Tool 1.00 exact Active
Source Record bronze_moreland_contracts_ma_project_contracts
file_hash
0eae6ee75baadc6429c173d1934aa17b
file_name
Jergens Chatbot Tool - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BC9C3D8EE-59F9-43CA-8B10-1A6BA6F69F89%7D&file=Jergens%20Chatbot%20Tool%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Jergens, Inc.
project_name
Chatbot Customer Service and Engineering Support Tool
contact_person
Matt
contract_type
fixed_fee
hourly_rate
estimated_hours
total_fee_estimate
40000.0
brief_project_description
Assisting Jergens with the development of a Generative AI powered customer service and engineering support tool.
start_date
2025-09-05
extracted_at
2026-04-13T02:03:17.045940+00:00
raw_text_preview
Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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2025-09-05T13:42:57+00:00
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2025-09-05T14:48:29+00:00
created_by
Paul Franke
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Paul Franke
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moreland_contracts 02+IBPcOnD1+Dg Chatbot Customer Service and Engineering Support Tool 1.00 exact Active
Source Record bronze_moreland_contracts_ma_project_contracts
file_hash
0eae6ee75baadc6429c173d1934aa17b
file_name
Jergens Chatbot Tool - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BC9C3D8EE-59F9-43CA-8B10-1A6BA6F69F89%7D&file=Jergens%20Chatbot%20Tool%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Jergens, Inc.
project_name
Chatbot Customer Service and Engineering Support Tool
contact_person
Matt
contract_type
fixed_fee
hourly_rate
estimated_hours
total_fee_estimate
40000.0
brief_project_description
Development of a Generative AI powered customer service and engineering support tool to reduce repetitive inquiries and empower customer service representatives.
start_date
2025-09-05
extracted_at
2026-04-14T02:03:34.618576+00:00
raw_text_preview
Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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2025-09-05T13:42:57+00:00
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2025-09-05T14:48:29+00:00
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Paul Franke
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Paul Franke
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moreland_contracts 98JuCz+W5bsmJA Chatbot Customer Service and Engineering Support Tool 1.00 exact Active
Source Record bronze_moreland_contracts_ma_project_contracts
file_hash
0eae6ee75baadc6429c173d1934aa17b
file_name
Jergens Chatbot Tool - 09-05-25.docx
file_path
https://morelandpartners.sharepoint.com/sites/MorelandConnect-BusinessDevelopment/_layouts/15/Doc.aspx?sourcedoc=%7BC9C3D8EE-59F9-43CA-8B10-1A6BA6F69F89%7D&file=Jergens%20Chatbot%20Tool%20-%2009-05-25.docx&action=default&mobileredirect=true
company
Jergens, Inc.
project_name
Chatbot Customer Service and Engineering Support Tool
contact_person
Matt
contract_type
fixed_fee
hourly_rate
estimated_hours
total_fee_estimate
40000.0
brief_project_description
Development of a Generative AI powered customer service and engineering support tool to reduce repetitive inquiries and empower customer service representatives.
start_date
extracted_at
2026-04-09T13:57:05.852756+00:00
raw_text_preview
Sep 05, 2025 Re: Chatbot Customer Service and Engineering Support Tool Dear Matt: MorelandConnect LLC (“Moreland”) is pleased to provide this Arrangement Letter (“Agreement”) confirming our consulting services (the "Services") to assist Jergens, Inc. (“Jergens”) with the development of a Generative AI powered customer service and engineering support tool. 1. Project Overview Jergens Inc., a leader in engineered workholding, tooling, and fastener solutions, seeks to implement a Generative AI-powered Enterprise Search and Support tool. The objective is to reduce repetitive inquiries to engineering staff, empower customer service representatives with faster access to accurate product data. This arrangement letter outlines the Design to MVP phase for building a secure, scalable, and extensible enterprise search system that leverages Retrieval-Augmented Generation (RAG), structured data search, and conversational AI. 2. Goals & Objectives Customer Service Enablement: Provide accurate, instant answers to common catalog/product questions (e.g., clamp loads, material specs) without requiring engineering intervention. Engineering Knowledge Capture: Allow iterative incorporation of non-catalog, R&D, and field-learned insights into the searchable knowledge base. Sales Competitiveness (Future Phase): Support creation of dynamic “battle cards” by comparing Jergens products to competitors and surfacing differentiators. Knowledge Trust & Usability: Ensure results are grounded in Jergens’ proprietary catalog, PIMCore database, engineering docs, and validated knowledge sources. 3. Project Scope (Design to MVP) In Scope (MVP Deliverables) Discovery & Design Workshops Validate use cases, data sources, and workflows with Jergens’ customer service, engineering, and IT teams. Define high-priority intents (product Q&A, catalog specs, accessory lookups). Map data accessibility (PIMCore APIs, SQL databases, PDF catalogs, manuals). Architecture & System Setup Implement a RAG / Semantic
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2025-09-05T13:42:57+00:00
file_modified_at
2025-09-05T14:48:29+00:00
created_by
Paul Franke
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Paul Franke
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