Compare IFS Cloud and SAP Field Service Management 
At a Glance
Market Segments
Mid-Market (63.4% of reviews)
Mid-Market (38.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
IFS Cloud
Star Rating
(272)4.0 out of 5
Market Segments
Mid-Market (63.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IFS CloudSAP Field Service Management
Star Rating
(65)4.3 out of 5
Market Segments
Mid-Market (38.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about SAP Field Service ManagementSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that SAP Field Service Management excels in real-time tracking of jobs and technicians, with users appreciating the seamless integration that allows for efficient management of field operations. The Dispatching Board feature has been highlighted as a game-changer, providing clear visibility of team locations on a map.
- Users say that IFS Cloud offers a comprehensive solution that combines multiple functionalities such as ERP, FSM, EAM, HCM, and CRM. This multipurpose approach is praised for its ability to customize and adapt to unique business needs, making it a versatile choice for organizations looking for an all-in-one platform.
- Reviewers mention that SAP Field Service Management has a higher quality of support, with users noting the responsiveness and effectiveness of the support team. This aspect is crucial for businesses that rely on timely assistance to resolve issues and maintain operational efficiency.
- According to verified reviews, IFS Cloud is recognized for its flexibility and modern design, allowing for easy configuration and operational planning. Users appreciate its capabilities in predictive maintenance and asset management, which contribute to improved business operations.
- G2 reviewers highlight that SAP Field Service Management provides better ease of setup and user experience, with many users finding the onboarding process straightforward. This ease of use is essential for teams that need to get up and running quickly without extensive training.
- Users report that while IFS Cloud is robust in its offerings, it sometimes struggles with specific workflow needs, leading to configuration challenges. This can be a drawback for businesses that require a tailored solution to fit their unique processes.
Pricing
Entry-Level Pricing
IFS Cloud
No pricing availableSAP Field Service Management
No pricing availableFree Trial
IFS Cloud
No trial information availableSAP Field Service Management
Free Trial is available
Ratings
Meets Requirements
8.2
223
8.7
38
Ease of Use
7.6
224
8.1
38
Ease of Setup
6.6
157
8.3
27
Ease of Admin
7.4
151
8.6
6
Quality of Support
6.4
217
8.4
34
Has the product been a good partner in doing business?
7.2
151
9.0
7
Product Direction (% positive)
8.1
217
8.7
37
Features by Category
Accounting
8.4
30
Not enough data
8.0
25
Not enough data
7.9
25
Not enough data
8.1
26
Not enough data
7.8
24
Not enough data
8.2
25
Not enough data
7.9
28
Not enough data
8.1
24
Not enough data
8.0
23
Not enough data
7.9
25
Not enough data
Inventory & Warehouse
8.9
30
Not enough data
8.5
31
Not enough data
8.5
31
Not enough data
8.3
29
Not enough data
8.1
26
Not enough data
7.8
22
Not enough data
8.5
24
Not enough data
8.1
15
Not enough data
Purchasing
8.2
31
Not enough data
8.8
30
Not enough data
7.9
25
Not enough data
8.4
30
Not enough data
Sales & Marketing
8.5
26
Not enough data
8.3
20
Not enough data
8.6
28
Not enough data
7.8
27
Not enough data
8.3
24
Not enough data
7.7
23
Not enough data
Manufacturing
8.2
28
Not enough data
7.5
23
Not enough data
7.7
22
Not enough data
8.1
27
Not enough data
8.3
26
Not enough data
8.3
27
Not enough data
7.7
20
Not enough data
8.4
21
Not enough data
Quality Management
8.0
23
Not enough data
7.7
24
Not enough data
7.0
20
Not enough data
7.4
23
Not enough data
7.6
19
Not enough data
7.6
21
Not enough data
8.0
21
Not enough data
Distribution
8.4
27
Not enough data
8.5
22
Not enough data
7.6
25
Not enough data
8.6
26
Not enough data
8.3
24
Not enough data
HR
8.3
12
Not enough data
7.6
19
Not enough data
7.4
23
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Process ERP
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Accounting
9.8
8
Not enough data
7.2
6
Not enough data
8.6
6
Not enough data
8.1
9
Not enough data
8.8
7
Not enough data
7.6
7
Not enough data
9.3
5
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
7.6
7
Not enough data
Inventory & Warehouse
8.3
12
Not enough data
8.6
12
Not enough data
8.0
11
Not enough data
7.6
11
Not enough data
7.8
12
Not enough data
Purchasing
8.0
9
Not enough data
8.3
11
Not enough data
8.5
10
Not enough data
8.8
11
Not enough data
Sales & Marketing
8.3
11
Not enough data
7.9
8
Not enough data
8.0
10
Not enough data
8.1
9
Not enough data
8.3
9
Not enough data
8.3
10
Not enough data
Discrete Manufacturing
8.0
9
Not enough data
7.2
6
Not enough data
8.3
9
Not enough data
8.3
9
Not enough data
8.3
9
Not enough data
8.2
10
Not enough data
Process Manufacturing
7.2
6
Not enough data
7.1
8
Not enough data
7.2
6
Not enough data
ETO Manufacturing
7.7
8
Not enough data
7.5
6
Not enough data
7.0
5
Not enough data
Quality Management
8.3
6
Not enough data
8.3
7
Not enough data
8.6
7
Not enough data
8.8
8
Not enough data
Service
Not enough data
Not enough data
Not enough data
Not enough data
7.5
6
Not enough data
Distribution
8.3
9
Not enough data
8.1
9
Not enough data
8.7
10
Not enough data
HR
Not enough data
Not enough data
Not enough data
Not enough data
7.8
6
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Mixed Mode ERP
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Accounting
8.3
23
Not enough data
6.9
16
Not enough data
6.8
16
Not enough data
7.8
22
Not enough data
7.5
19
Not enough data
7.2
21
Not enough data
7.6
18
Not enough data
7.6
20
Not enough data
7.6
17
Not enough data
7.5
17
Not enough data
Inventory & Warehouse
8.0
22
Not enough data
7.6
21
Not enough data
7.7
21
Not enough data
7.4
18
Not enough data
6.8
18
Not enough data
Purchasing
7.6
19
Not enough data
8.3
20
Not enough data
8.0
20
Not enough data
8.1
20
Not enough data
Sales & Marketing
7.6
19
Not enough data
7.4
14
Not enough data
8.1
18
Not enough data
8.0
17
Not enough data
7.8
19
Not enough data
7.4
17
Not enough data
Manufacturing
8.0
20
Not enough data
8.1
18
Not enough data
7.6
19
Not enough data
7.9
19
Not enough data
7.2
15
Not enough data
7.6
18
Not enough data
Quality Management
7.5
16
Not enough data
7.4
16
Not enough data
6.4
15
Not enough data
7.5
16
Not enough data
Distribution
8.1
19
Not enough data
8.0
19
Not enough data
7.9
19
Not enough data
HR
6.3
10
Not enough data
7.4
12
Not enough data
7.3
11
Not enough data
Generative AI
4.3
5
Not enough data
4.7
5
Not enough data
Agentic AI - Discrete ERP
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Accounting
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Inventory & Warehouse
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Purchasing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Sales & Marketing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
9.3
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Service
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Manufacturing
Not enough data
Not enough data
9.3
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
9.0
5
Not enough data
8.3
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Quality Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Distribution
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
HR
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - ETO ERP
Not enough data
Not enough data
Accounting
6.9
47
Not enough data
6.8
47
Not enough data
6.9
52
Not enough data
7.2
59
Not enough data
6.5
35
Not enough data
7.6
65
Not enough data
7.5
67
Not enough data
7.6
60
Not enough data
7.3
52
Not enough data
7.1
52
Not enough data
7.5
73
Not enough data
7.0
49
Not enough data
7.5
53
Not enough data
7.1
45
Not enough data
7.7
49
Not enough data
7.7
56
Not enough data
7.5
52
Not enough data
7.4
63
Not enough data
Back Office
7.4
54
Not enough data
7.7
47
Not enough data
6.9
26
Not enough data
7.2
44
Not enough data
7.6
53
Not enough data
7.3
30
Not enough data
6.4
25
Not enough data
8.3
73
Not enough data
8.2
66
Not enough data
7.0
36
Not enough data
7.3
45
Not enough data
7.5
40
Not enough data
7.6
44
Not enough data
7.1
29
Not enough data
Front Office
6.8
31
Not enough data
6.0
24
Not enough data
7.2
39
Not enough data
7.6
36
Not enough data
6.8
29
Not enough data
6.8
20
Not enough data
6.7
22
Not enough data
7.4
48
Not enough data
7.4
42
Not enough data
6.6
29
Not enough data
7.2
50
Not enough data
7.0
41
Not enough data
6.4
20
Not enough data
6.3
21
Not enough data
6.7
22
Not enough data
6.8
31
Not enough data
Integration
6.7
33
Not enough data
7.2
62
Not enough data
7.3
59
Not enough data
Logistics
7.7
62
Not enough data
7.2
51
Not enough data
7.3
52
Not enough data
7.4
67
Not enough data
7.5
66
Not enough data
8.0
65
Not enough data
7.5
58
Not enough data
7.2
56
Not enough data
7.8
64
Not enough data
7.8
59
Not enough data
Platform
7.6
66
Not enough data
7.0
47
Not enough data
7.2
55
Not enough data
7.5
61
Not enough data
7.4
70
Not enough data
7.1
56
Not enough data
Production
7.7
61
Not enough data
6.5
41
Not enough data
7.1
48
Not enough data
6.9
47
Not enough data
7.2
44
Not enough data
6.7
36
Not enough data
7.6
58
Not enough data
7.3
51
Not enough data
7.1
38
Not enough data
7.6
54
Not enough data
6.9
35
Not enough data
7.4
48
Not enough data
Reporting & Analytics
7.3
62
Not enough data
7.5
66
Not enough data
7.3
57
Not enough data
Generative AI
5.9
9
Not enough data
6.2
11
Not enough data
Agentic AI - ERP Systems
Not enough data
Not enough data
Asset Definition
8.1
13
Not enough data
7.6
12
Not enough data
7.8
13
Not enough data
7.8
12
Not enough data
Asset Tracking
6.5
13
Not enough data
8.1
13
Not enough data
7.9
14
Not enough data
Inventory
7.8
13
Not enough data
6.7
12
Not enough data
7.1
13
Not enough data
Depreciation
7.4
12
Not enough data
7.8
12
Not enough data
7.2
12
Not enough data
6.5
13
Not enough data
Maintenance
7.8
12
Not enough data
7.5
12
Not enough data
7.5
10
Not enough data
7.7
11
Not enough data
7.8
10
Not enough data
7.9
12
Not enough data
Field Service
8.1
12
Not enough data
8.3
9
Not enough data
7.5
8
Not enough data
Monitoring
7.4
12
Not enough data
8.3
11
Not enough data
7.3
11
Not enough data
Contract & Warranty
7.7
11
Not enough data
7.4
9
Not enough data
6.8
10
Not enough data
Analytics
8.3
15
Not enough data
8.1
15
Not enough data
7.8
12
Not enough data
Integration
9.1
13
Not enough data
6.3
8
Not enough data
8.3
14
Not enough data
Agentic AI - Enterprise Asset Management (EAM)
Not enough data
Not enough data
Logistics and Operations
6.9
7
Not enough data
6.9
6
Not enough data
7.4
7
Not enough data
8.3
8
Not enough data
8.1
7
Not enough data
7.4
9
Not enough data
6.1
9
Not enough data
8.3
7
Not enough data
7.5
8
Not enough data
7.9
8
Not enough data
Nonconformance
7.0
18
Not enough data
6.9
18
Not enough data
7.5
16
Not enough data
Quality system
7.6
20
Not enough data
7.3
17
Not enough data
7.3
19
Not enough data
Risk Management
6.3
15
Not enough data
6.3
13
Not enough data
6.7
18
Not enough data
Inspection Management
6.3
17
Not enough data
7.1
18
Not enough data
7.0
17
Not enough data
Compliance
7.0
15
Not enough data
6.8
13
Not enough data
6.8
14
Not enough data
Platform
6.5
21
Not enough data
7.4
23
Not enough data
6.3
15
Not enough data
6.8
23
Not enough data
Services
7.3
22
Not enough data
6.4
24
Not enough data
6.4
23
Not enough data
6.1
20
Not enough data
Generative AI
Not enough data
8.5
16
Not enough data
8.4
15
Before the Job
7.5
31
9.2
23
8.1
36
8.9
20
8.2
32
8.9
22
8.0
33
8.4
18
On the Job
7.9
39
9.3
21
7.8
38
9.1
22
7.7
31
8.4
18
7.4
32
8.4
17
7.3
11
8.8
20
After the Job
7.8
44
8.9
18
7.4
38
8.5
17
7.8
32
8.9
19
7.8
25
8.4
20
Agentic AI - Field Service Management
Not enough data
8.0
9
Not enough data
8.3
9
Not enough data
8.7
10
Financial Management - Government ERP
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Procurement - Government ERP
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Human Resources - Government ERP
Not enough data
Not enough data
Not enough data
Not enough data
Citizen Services - Government ERP
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Asset Management - Government ERP
Not enough data
Not enough data
Not enough data
Not enough data
Compliance & Audit - Government ERP
Not enough data
Not enough data
Not enough data
Not enough data
Data & Analytics - Government ERP
Not enough data
Not enough data
Not enough data
Not enough data
AI Capabilities - Government ERP
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
IFS Cloud and SAP Field Service Management are categorized as Field Service Management
Unique Categories
IFS Cloud is categorized as ERP Systems, Enterprise Asset Management (EAM), Aviation MRO, Mixed Mode ERP, Discrete ERP, Construction ERP, Process ERP, ETO ERP, Government ERP, and Quality Management (QMS)
SAP Field Service Management has no unique categories
Reviews
Reviewers' Company Size
IFS Cloud
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAP Field Service Management
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
Automotive
8.6%
Oil & Energy
8.3%
Information Technology and Services
7.1%
Manufacturing
5.3%
Construction
4.5%
Other
66.2%
Computer Software
12.5%
Logistics and Supply Chain
10.0%
Accounting
7.5%
Construction
7.5%
Information Technology and Services
7.5%
Other
55.0%
Alternatives
Discussions
What is IFS FSM?
2 Comments
SN
It’s IFS’s Field Service Module. This is a module developed by IFS to support field agents wherein they can key in requirements/service reports from remote...Read more
IFS Centralized Distribution Tool (ICDT)
1 Comment
JA
This can achieved by batch programming, VBA and Windows scheduler. No other tool required Read more
SAP Field Service Management has no discussions with answers
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