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At a Glance
Market Segments
Mid-Market (56.5% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
L2L
Star Rating
(117)4.3 out of 5
Market Segments
Mid-Market (56.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about L2LSimio Production Scheduling
Star Rating
(12)3.3 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Simio Production SchedulingSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Simio Production Scheduling excels in Optimization with a score of 8.1, indicating strong capabilities in refining production processes, while L2L Connected Workforce Platform matches this score but lacks the same depth in user feedback regarding practical application.
- Reviewers mention that L2L Connected Workforce Platform offers superior Ease of Use with a score of 8.2, making it more accessible for teams without extensive training, whereas Simio Production Scheduling struggles with a lower score of 5.8, suggesting a steeper learning curve.
- G2 users highlight that L2L Connected Workforce Platform provides robust Data Collection features, scoring 8.7, which reviewers say enhances real-time decision-making, while Simio Production Scheduling does not receive the same level of praise in this area.
- Users on G2 report that L2L Connected Workforce Platform shines in Quality of Support with a score of 8.2, indicating responsive customer service, while Simio Production Scheduling has a lower score of 6.2, suggesting potential challenges in obtaining timely assistance.
- Reviewers mention that L2L Connected Workforce Platform has a more favorable Product Direction score of 8.8, indicating a positive outlook for future updates and features, while Simio Production Scheduling scores 7.7, reflecting less enthusiasm from users about its development trajectory.
- Users say that Simio Production Scheduling provides effective Production Plans with a score of 6.9, but L2L Connected Workforce Platform outperforms it with a score of 7.8, showcasing a more comprehensive approach to planning and execution.
Pricing
Entry-Level Pricing
L2L
No pricing availableSimio Production Scheduling
No pricing availableFree Trial
L2L
No trial information availableSimio Production Scheduling
No trial information availableRatings
Meets Requirements
8.5
99
7.7
10
Ease of Use
8.2
102
5.8
10
Ease of Setup
8.0
66
Not enough data
Ease of Admin
8.4
46
Not enough data
Quality of Support
8.6
89
6.2
7
Has the product been a good partner in doing business?
8.9
44
Not enough data
Product Direction (% positive)
9.2
100
7.7
10
Features by Category
Planning
8.6
26
7.6
7
8.3
27
7.6
7
8.4
27
6.9
7
8.5
26
8.1
7
Scheduling
8.2
27
7.9
7
8.7
25
5.8
6
8.4
29
7.5
6
Agentic AI - Advanced Planning and Scheduling (APS)
8.3
8
Not enough data
Workflow & Automation
8.1
35
Not enough data
8.1
34
Not enough data
6.9
6
Not enough data
7.2
6
Not enough data
7.2
6
Not enough data
Execution
7.7
36
Not enough data
8.3
36
Not enough data
7.7
34
Not enough data
Analytics & Reporting
8.3
35
Not enough data
7.7
34
Not enough data
8.0
34
Not enough data
Enterprise Management
7.5
6
Not enough data
6.7
7
Not enough data
5.5
7
Not enough data
7.8
6
Not enough data
7.8
6
Not enough data
Knowledge Capture
7.2
6
Not enough data
7.3
5
Not enough data
7.5
6
Not enough data
6.0
5
Not enough data
Generative AI
5.6
31
Not enough data
5.5
32
Not enough data
5.3
32
Not enough data
Agentic AI
5.3
6
Not enough data
4.0
5
Not enough data
4.0
5
Not enough data
Data & Integration
8.3
6
Not enough data
7.5
6
Not enough data
Data Management
8.1
25
Not enough data
8.2
25
Not enough data
8.0
22
Not enough data
8.6
25
Not enough data
8.3
23
Not enough data
Analytics
8.1
25
Not enough data
8.7
26
Not enough data
8.7
26
Not enough data
Agentic AI - Manufacturing Intelligence
5.7
5
Not enough data
Asset Definition
7.7
14
Not enough data
7.4
14
Not enough data
6.9
13
Not enough data
7.2
13
Not enough data
Asset Tracking
Feature Not Available
Not enough data
7.8
13
Not enough data
8.7
14
Not enough data
Inventory
7.4
12
Not enough data
7.4
12
Not enough data
7.0
11
Not enough data
Depreciation
Feature Not Available
Not enough data
6.7
5
Not enough data
Feature Not Available
Not enough data
5.7
5
Not enough data
Maintenance
8.1
13
Not enough data
8.3
13
Not enough data
8.1
14
Not enough data
8.4
15
Not enough data
8.3
14
Not enough data
7.9
13
Not enough data
Field Service
7.8
12
Not enough data
7.9
13
Not enough data
Feature Not Available
Not enough data
Monitoring
7.8
13
Not enough data
8.2
13
Not enough data
6.8
11
Not enough data
Contract & Warranty
6.4
11
Not enough data
6.0
10
Not enough data
6.5
11
Not enough data
Analytics
7.6
13
Not enough data
7.9
13
Not enough data
6.9
12
Not enough data
Integration
7.2
12
Not enough data
6.4
12
Not enough data
7.1
12
Not enough data
Agentic AI - Enterprise Asset Management (EAM)
Not enough data
Not enough data
Condition Monitoring
7.9
39
Not enough data
8.1
37
Not enough data
8.0
38
Not enough data
7.6
36
Not enough data
6.6
33
Not enough data
Detection & Identification
7.1
35
Not enough data
7.0
35
Not enough data
7.9
35
Not enough data
Analysis & Insights
7.4
37
Not enough data
7.7
37
Not enough data
7.2
35
Not enough data
Agentic AI - Predictive Maintenance
6.0
5
Not enough data
Production Control - Manufacturing Execution System (MES)
8.1
9
Not enough data
9.5
10
Not enough data
8.5
10
Not enough data
Production Monitoring - Manufacturing Execution System (MES)
6.7
9
Not enough data
8.0
9
Not enough data
7.8
9
Not enough data
Data Collection and Analysis - Manufacturing Execution System (MES)
6.7
9
Not enough data
7.0
10
Not enough data
6.9
9
Not enough data
7.2
9
Not enough data
Integration - Manufacturing Execution System (MES)
7.0
10
Not enough data
7.7
10
Not enough data
7.0
9
Not enough data
Artificial Intelligence - Manufacturing Execution System (MES)
4.8
9
Not enough data
6.1
9
Not enough data
5.0
8
Not enough data
Agentic AI - Manufacturing Execution System
Not enough data
Not enough data
CMMS Platform Features
7.9
24
Not enough data
8.2
24
Not enough data
7.8
23
Not enough data
7.4
24
Not enough data
8.3
24
Not enough data
7.9
24
Not enough data
7.6
23
Not enough data
7.0
22
Not enough data
6.0
20
Not enough data
8.4
25
Not enough data
Categories
Categories
Shared Categories
L2L and Simio Production Scheduling are categorized as Advanced Planning and Scheduling (APS)
Unique Categories
L2L is categorized as Predictive Maintenance, CMMS, Manufacturing Execution System, Enterprise Asset Management (EAM), Manufacturing Intelligence, and Connected Worker Platform
Simio Production Scheduling has no unique categories
Reviews
Reviewers' Company Size
L2L
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Simio Production Scheduling
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Manufacturing
31.3%
Automotive
30.4%
Oil & Energy
6.1%
Electrical/Electronic Manufacturing
4.3%
Food Production
3.5%
Other
24.3%
Shipbuilding
10.0%
Research
10.0%
Medical Devices
10.0%
Machinery
10.0%
Industrial Automation
10.0%
Other
50.0%
Discussions
L2L has no discussions with answers
Simio Production Scheduling has no discussions with answers
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