AI Workshop Report Out
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Normalized: ai workshop report out
moreland_contracts
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2026-03-18 14:23:02.367060+00:00
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56%
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
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AI Workshop Report Out
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A workshop focused on identifying and categorizing use cases for AI applications in various business processes.
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2026-04-05T02:07:59.998344+00:00
raw_text_preview
AI Workshop Report Out
•Use Case Impact vs Effort Chart
•Use Case Categorization
•Use Case Definitions with Potential Value Statement
•Use Cases to Consider Not Discussed in Workshop
•Recommended Next Steps
Use Case Impact vs Effort
EffortImpact
D
H
C
I
F
B
G
E
N
K
J
L
M
Key
A: Product Master Data M anagement
B: Competitive Analysis
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O: DC to Customer Fulfillment Optimization
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Current timeline for part number creation and product master data completion is 4 -12 months
Several components of this process were identified for automation
- Product description and accuracy validation
- Label creation including safety data sheets, international product compliance
- Product artwork review (labels, warnings, logos, trademarks, text)
Value: Eliminates data inconsistencies, speeds new product setup, and ensur
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2026-03-12T20:34:09+00:00
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AI Workshop Report Out
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A workshop focused on identifying and categorizing use cases for AI applications in various business processes.
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raw_text_preview
AI Workshop Report Out
•Use Case Impact vs Effort Chart
•Use Case Categorization
•Use Case Definitions with Potential Value Statement
•Use Cases to Consider Not Discussed in Workshop
•Recommended Next Steps
Use Case Impact vs Effort
EffortImpact
D
H
C
I
F
B
G
E
N
K
J
L
M
Key
A: Product Master Data M anagement
B: Competitive Analysis
C: Product Availability (Conversational For Sales )
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J: Product Application Advisor
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D: Rapid Software Solution Prototypes
H: Optimize Manufacturing Costs
C: Product Availability (Conversational For Sales)
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High Impact High Effort Use Cases:
M: Financial Investigation Agent (Hold Resolution & AR)
F: Part Inspection QA
B: Competitive Analysis
E: Security Error Log Analysis
O: DC to Customer Fulfillment Optimization
Sliding Scale Incremental Impact Use Cases:
A: Product Master Data Management
G: Forecast Demand
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A: Product Master Data Management
Current timeline for part number creation and product master data completion is 4 -12 months
Several components of this process were identified for automation
- Product description and accuracy validation
- Label creation including safety data sheets, international product compliance
- Product artwork review (labels, warnings, logos, trademarks, text)
Value: Eliminates data inconsistencies, speeds new product setup, and ensur
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2026-03-12T20:34:09+00:00
file_modified_at
2026-03-12T20:34:07+00:00
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AI Workshop Report Out
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A workshop focused on identifying use cases for AI applications in various business processes.
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2026-03-28T02:09:11.074546+00:00
raw_text_preview
AI Workshop Report Out
•Use Case Impact vs Effort Chart
•Use Case Categorization
•Use Case Definitions with Potential Value Statement
•Use Cases to Consider Not Discussed in Workshop
•Recommended Next Steps
Use Case Impact vs Effort
EffortImpact
D
H
C
I
F
B
G
E
N
K
J
L
M
Key
A: Product Master Data M anagement
B: Competitive Analysis
C: Product Availability (Conversational For Sales )
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High Impact High Effort Use Cases:
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E: Security Error Log Analysis
O: DC to Customer Fulfillment Optimization
Sliding Scale Incremental Impact Use Cases:
A: Product Master Data Management
G: Forecast Demand
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A: Product Master Data Management
Current timeline for part number creation and product master data completion is 4 -12 months
Several components of this process were identified for automation
- Product description and accuracy validation
- Label creation including safety data sheets, international product compliance
- Product artwork review (labels, warnings, logos, trademarks, text)
Value: Eliminates data inconsistencies, speeds new product setup, and ensur
file_created_at
2026-03-12T20:34:09+00:00
file_modified_at
2026-03-12T20:34:07+00:00
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AI Workshop Report Out
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contract_type
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estimated_hours
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A workshop focused on identifying and categorizing use cases for AI applications in various business processes.
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raw_text_preview
AI Workshop Report Out
•Use Case Impact vs Effort Chart
•Use Case Categorization
•Use Case Definitions with Potential Value Statement
•Use Cases to Consider Not Discussed in Workshop
•Recommended Next Steps
Use Case Impact vs Effort
EffortImpact
D
H
C
I
F
B
G
E
N
K
J
L
M
Key
A: Product Master Data M anagement
B: Competitive Analysis
C: Product Availability (Conversational For Sales )
D: Rapid Software Solution Prototypes
E: Security Error Log Analysis
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G: Forecast Demand
H: Optimize Manufactur ingCosts
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J: Product Application Advisor
K: Incorporate 3PP Data into Analytics
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H: Optimize Manufacturing Costs
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High Impact High Effort Use Cases:
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E: Security Error Log Analysis
O: DC to Customer Fulfillment Optimization
Sliding Scale Incremental Impact Use Cases:
A: Product Master Data Management
G: Forecast Demand
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Current timeline for part number creation and product master data completion is 4 -12 months
Several components of this process were identified for automation
- Product description and accuracy validation
- Label creation including safety data sheets, international product compliance
- Product artwork review (labels, warnings, logos, trademarks, text)
Value: Eliminates data inconsistencies, speeds new product setup, and ensur
file_created_at
2026-03-12T20:34:09+00:00
file_modified_at
2026-03-12T20:34:07+00:00
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Oatey
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AI Workshop Report Out
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contract_type
—
hourly_rate
—
estimated_hours
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A workshop focused on identifying use cases for AI applications in various business processes.
start_date
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extracted_at
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raw_text_preview
AI Workshop Report Out
•Use Case Impact vs Effort Chart
•Use Case Categorization
•Use Case Definitions with Potential Value Statement
•Use Cases to Consider Not Discussed in Workshop
•Recommended Next Steps
Use Case Impact vs Effort
EffortImpact
D
H
C
I
F
B
G
E
N
K
J
L
M
Key
A: Product Master Data M anagement
B: Competitive Analysis
C: Product Availability (Conversational For Sales )
D: Rapid Software Solution Prototypes
E: Security Error Log Analysis
F: Part Inspection QA
G: Forecast Demand
H: Optimize Manufactur ingCosts
I: Extract Data from Docs
J: Product Application Advisor
K: Incorporate 3PP Data into Analytics
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D: Rapid Software Solution Prototypes
H: Optimize Manufacturing Costs
C: Product Availability (Conversational For Sales)
I: Extract Data from Docs
High Impact High Effort Use Cases:
M: Financial Investigation Agent (Hold Resolution & AR)
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B: Competitive Analysis
E: Security Error Log Analysis
O: DC to Customer Fulfillment Optimization
Sliding Scale Incremental Impact Use Cases:
A: Product Master Data Management
G: Forecast Demand
Use Case Definitions
A: Product Master Data Management
Current timeline for part number creation and product master data completion is 4 -12 months
Several components of this process were identified for automation
- Product description and accuracy validation
- Label creation including safety data sheets, international product compliance
- Product artwork review (labels, warnings, logos, trademarks, text)
Value: Eliminates data inconsistencies, speeds new product setup, and ensur
file_created_at
2026-03-12T20:34:09+00:00
file_modified_at
2026-03-12T20:34:07+00:00
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Paul Franke
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Oatey
project_name
AI Workshop Report Out
contact_person
—
contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
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A workshop focused on identifying and categorizing use cases for AI applications in various business processes.
start_date
—
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2026-03-31T02:09:06.962313+00:00
raw_text_preview
AI Workshop Report Out
•Use Case Impact vs Effort Chart
•Use Case Categorization
•Use Case Definitions with Potential Value Statement
•Use Cases to Consider Not Discussed in Workshop
•Recommended Next Steps
Use Case Impact vs Effort
EffortImpact
D
H
C
I
F
B
G
E
N
K
J
L
M
Key
A: Product Master Data M anagement
B: Competitive Analysis
C: Product Availability (Conversational For Sales )
D: Rapid Software Solution Prototypes
E: Security Error Log Analysis
F: Part Inspection QA
G: Forecast Demand
H: Optimize Manufactur ingCosts
I: Extract Data from Docs
J: Product Application Advisor
K: Incorporate 3PP Data into Analytics
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A
A
G
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D: Rapid Software Solution Prototypes
H: Optimize Manufacturing Costs
C: Product Availability (Conversational For Sales)
I: Extract Data from Docs
High Impact High Effort Use Cases:
M: Financial Investigation Agent (Hold Resolution & AR)
F: Part Inspection QA
B: Competitive Analysis
E: Security Error Log Analysis
O: DC to Customer Fulfillment Optimization
Sliding Scale Incremental Impact Use Cases:
A: Product Master Data Management
G: Forecast Demand
Use Case Definitions
A: Product Master Data Management
Current timeline for part number creation and product master data completion is 4 -12 months
Several components of this process were identified for automation
- Product description and accuracy validation
- Label creation including safety data sheets, international product compliance
- Product artwork review (labels, warnings, logos, trademarks, text)
Value: Eliminates data inconsistencies, speeds new product setup, and ensur
file_created_at
2026-03-12T20:34:09+00:00
file_modified_at
2026-03-12T20:34:07+00:00
created_by
Paul Franke
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Paul Franke
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Oatey
project_name
AI Workshop Report Out
contact_person
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contract_type
—
hourly_rate
—
estimated_hours
—
total_fee_estimate
—
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A workshop focused on identifying and categorizing use cases for AI applications in various business processes.
start_date
—
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2026-03-30T02:09:24.333786+00:00
raw_text_preview
AI Workshop Report Out
•Use Case Impact vs Effort Chart
•Use Case Categorization
•Use Case Definitions with Potential Value Statement
•Use Cases to Consider Not Discussed in Workshop
•Recommended Next Steps
Use Case Impact vs Effort
EffortImpact
D
H
C
I
F
B
G
E
N
K
J
L
M
Key
A: Product Master Data M anagement
B: Competitive Analysis
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D: Rapid Software Solution Prototypes
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G: Forecast Demand
H: Optimize Manufactur ingCosts
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J: Product Application Advisor
K: Incorporate 3PP Data into Analytics
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D: Rapid Software Solution Prototypes
H: Optimize Manufacturing Costs
C: Product Availability (Conversational For Sales)
I: Extract Data from Docs
High Impact High Effort Use Cases:
M: Financial Investigation Agent (Hold Resolution & AR)
F: Part Inspection QA
B: Competitive Analysis
E: Security Error Log Analysis
O: DC to Customer Fulfillment Optimization
Sliding Scale Incremental Impact Use Cases:
A: Product Master Data Management
G: Forecast Demand
Use Case Definitions
A: Product Master Data Management
Current timeline for part number creation and product master data completion is 4 -12 months
Several components of this process were identified for automation
- Product description and accuracy validation
- Label creation including safety data sheets, international product compliance
- Product artwork review (labels, warnings, logos, trademarks, text)
Value: Eliminates data inconsistencies, speeds new product setup, and ensur
file_created_at
2026-03-12T20:34:09+00:00
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2026-03-12T20:34:07+00:00
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Paul Franke
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Paul Franke
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Oatey
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AI Workshop Report Out
contact_person
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—
hourly_rate
—
estimated_hours
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—
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A workshop focused on identifying and categorizing use cases for AI applications in various business processes.
start_date
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2026-04-07T02:09:35.414469+00:00
raw_text_preview
AI Workshop Report Out
•Use Case Impact vs Effort Chart
•Use Case Categorization
•Use Case Definitions with Potential Value Statement
•Use Cases to Consider Not Discussed in Workshop
•Recommended Next Steps
Use Case Impact vs Effort
EffortImpact
D
H
C
I
F
B
G
E
N
K
J
L
M
Key
A: Product Master Data M anagement
B: Competitive Analysis
C: Product Availability (Conversational For Sales )
D: Rapid Software Solution Prototypes
E: Security Error Log Analysis
F: Part Inspection QA
G: Forecast Demand
H: Optimize Manufactur ingCosts
I: Extract Data from Docs
J: Product Application Advisor
K: Incorporate 3PP Data into Analytics
L: Product Pricing & Margin Analytics
M: Financial Investigation Agent (Holistic: AR)
N: Email Triage & Task Automation
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A
A
G
High
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Use Case Categories
Highest Impact and Lowest Effort Use Cases:
J: Product Application Advisor
K: Incorporate 3PP Data into Analytics
L: Product Pricing & Margin Analytics
G: Forecast Demand
Second Highest Impact and Low Effort Use Cases:
D: Rapid Software Solution Prototypes
H: Optimize Manufacturing Costs
C: Product Availability (Conversational For Sales)
I: Extract Data from Docs
High Impact High Effort Use Cases:
M: Financial Investigation Agent (Hold Resolution & AR)
F: Part Inspection QA
B: Competitive Analysis
E: Security Error Log Analysis
O: DC to Customer Fulfillment Optimization
Sliding Scale Incremental Impact Use Cases:
A: Product Master Data Management
G: Forecast Demand
Use Case Definitions
A: Product Master Data Management
Current timeline for part number creation and product master data completion is 4 -12 months
Several components of this process were identified for automation
- Product description and accuracy validation
- Label creation including safety data sheets, international product compliance
- Product artwork review (labels, warnings, logos, trademarks, text)
Value: Eliminates data inconsistencies, speeds new product setup, and ensur
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AI Workshop Report Out
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•Use Cases to Consider Not Discussed in Workshop
•Recommended Next Steps
Use Case Impact vs Effort
EffortImpact
D
H
C
I
F
B
G
E
N
K
J
L
M
Key
A: Product Master Data M anagement
B: Competitive Analysis
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Several components of this process were identified for automation
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- Label creation including safety data sheets, international product compliance
- Product artwork review (labels, warnings, logos, trademarks, text)
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•Recommended Next Steps
Use Case Impact vs Effort
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C
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L
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Key
A: Product Master Data M anagement
B: Competitive Analysis
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Sliding Scale Incremental Impact Use Cases:
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Several components of this process were identified for automation
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- Label creation including safety data sheets, international product compliance
- Product artwork review (labels, warnings, logos, trademarks, text)
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•Recommended Next Steps
Use Case Impact vs Effort
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D
H
C
I
F
B
G
E
N
K
J
L
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Key
A: Product Master Data M anagement
B: Competitive Analysis
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Sliding Scale Incremental Impact Use Cases:
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Several components of this process were identified for automation
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- Label creation including safety data sheets, international product compliance
- Product artwork review (labels, warnings, logos, trademarks, text)
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•Recommended Next Steps
Use Case Impact vs Effort
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C
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Key
A: Product Master Data M anagement
B: Competitive Analysis
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Several components of this process were identified for automation
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- Label creation including safety data sheets, international product compliance
- Product artwork review (labels, warnings, logos, trademarks, text)
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•Recommended Next Steps
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A: Product Master Data M anagement
B: Competitive Analysis
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Several components of this process were identified for automation
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- Label creation including safety data sheets, international product compliance
- Product artwork review (labels, warnings, logos, trademarks, text)
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•Recommended Next Steps
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EffortImpact
D
H
C
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F
B
G
E
N
K
J
L
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Key
A: Product Master Data M anagement
B: Competitive Analysis
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High Impact High Effort Use Cases:
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B: Competitive Analysis
E: Security Error Log Analysis
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Sliding Scale Incremental Impact Use Cases:
A: Product Master Data Management
G: Forecast Demand
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Current timeline for part number creation and product master data completion is 4 -12 months
Several components of this process were identified for automation
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- Label creation including safety data sheets, international product compliance
- Product artwork review (labels, warnings, logos, trademarks, text)
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AI Workshop Report Out
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•Use Cases to Consider Not Discussed in Workshop
•Recommended Next Steps
Use Case Impact vs Effort
EffortImpact
D
H
C
I
F
B
G
E
N
K
J
L
M
Key
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B: Competitive Analysis
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H: Optimize Manufactur ingCosts
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J: Product Application Advisor
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High Impact High Effort Use Cases:
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E: Security Error Log Analysis
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Sliding Scale Incremental Impact Use Cases:
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Several components of this process were identified for automation
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- Label creation including safety data sheets, international product compliance
- Product artwork review (labels, warnings, logos, trademarks, text)
Value: Eliminates data inconsistencies, speeds new product setup, and ensur
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