Introducing G2.ai, the future of software buying.Try now
Compare L2L and SAP Predictive Asset Insights 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Fulcrum
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Azumuta
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
UpKeep
Visit Website
At a Glance
Market Segments
Mid-Market (56.5% of reviews)
Enterprise (42.9% 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 L2LSAP Predictive Asset Insights
Star Rating
(37)4.2 out of 5
Market Segments
Enterprise (42.9% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about SAP Predictive Asset InsightsSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that SAP Predictive Asset Insights excels in IoT Monitoring with a score of 8.9, indicating strong capabilities in real-time data collection from connected devices, while L2L Connected Workforce Platform falls short with a score of 6.6 in the same area.
- Reviewers mention that L2L Connected Workforce Platform shines in Condition-Based Maintenance, scoring 7.9, which is notably higher than SAP Predictive Asset Insights' score of 6.9, suggesting that L2L offers more effective tools for maintaining equipment based on real-time conditions.
- G2 users highlight that SAP Predictive Asset Insights provides superior Data Collection capabilities, achieving a score of 8.7, which is higher than L2L's score of 7.3, indicating a more robust approach to gathering and analyzing asset data.
- Users on G2 report that L2L Connected Workforce Platform has a better overall Ease of Use with a score of 8.2 compared to SAP Predictive Asset Insights' score of 7.3, suggesting that L2L may be more user-friendly for everyday operations.
- Reviewers mention that SAP Predictive Asset Insights has a strong focus on Analytics, particularly in Real-Time Monitoring with a score of 8.9, which is higher than L2L's score of 7.0, indicating a more advanced analytical capability for asset performance tracking.
- Users say that L2L Connected Workforce Platform offers better Quality Control features, scoring 8.2, while SAP Predictive Asset Insights scores 7.4, suggesting that L2L provides more effective tools for ensuring product quality during manufacturing processes.
Pricing
Entry-Level Pricing
L2L
No pricing availableSAP Predictive Asset Insights
No pricing availableFree Trial
L2L
No trial information availableSAP Predictive Asset Insights
No trial information availableRatings
Meets Requirements
8.5
99
8.1
12
Ease of Use
8.2
102
7.3
13
Ease of Setup
8.0
66
Not enough data
Ease of Admin
8.4
46
Not enough data
Quality of Support
8.6
89
7.6
13
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
Not enough data
8.3
27
Not enough data
8.4
27
Not enough data
8.5
26
Not enough data
Scheduling
8.2
27
Not enough data
8.7
25
Not enough data
8.4
29
Not enough data
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
8.1
8
8.1
37
8.3
8
8.0
38
6.9
7
7.6
36
8.8
7
6.6
33
8.9
6
Detection & Identification
7.1
35
8.1
7
7.0
35
8.3
6
7.9
35
8.5
8
Analysis & Insights
7.4
37
7.4
7
7.7
37
8.6
7
7.2
35
8.6
6
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 SAP Predictive Asset Insights are categorized as Predictive Maintenance
Unique Categories
SAP Predictive Asset Insights has no unique categories
Reviews
Reviewers' Company Size
L2L
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAP Predictive Asset Insights
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%
Information Technology and Services
17.1%
Oil & Energy
8.6%
Higher Education
5.7%
Financial Services
5.7%
Computer Software
5.7%
Other
57.1%
Discussions
L2L has no discussions with answers
SAP Predictive Asset Insights has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
