Introducing G2.ai, the future of software buying.Try now
Compare IFS Cloud and Zuper 
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.
DynamicsPrint
Visit Website
At a Glance
Market Segments
Mid-Market (63.4% of reviews)
Small-Business (54.2% of reviews)
Entry-Level Pricing
No pricing available
Contact Us 1 User Per Year
IFS Cloud
Star Rating
(269)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 CloudZuper
Star Rating
(152)4.7 out of 5
Market Segments
Small-Business (54.2% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us 1 User Per Year
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that IFS excels in its Chart of Accounts feature, receiving a score of 9.8, which reviewers mention provides comprehensive flexibility for financial reporting. In contrast, Zuper's score of 8.3 indicates it may not offer the same level of detail and customization.
- Reviewers mention that Zuper shines in Quality of Support, with a remarkable score of 9.6, highlighting prompt and effective assistance. Users on G2 express that IFS, with a score of 6.4, often falls short in this area, leading to frustration during critical support moments.
- G2 users indicate that Zuper's Ease of Use is a significant advantage, scoring 8.9, which many reviewers say makes it accessible for small businesses. Conversely, IFS's score of 7.6 suggests a steeper learning curve, which some users find challenging.
- Users report that Zuper's Payments Scheduling feature, scoring 8.9, is highly praised for its intuitive interface and reliability. In comparison, IFS's score of 8.1, while still good, does not receive the same level of enthusiasm from users.
- Reviewers mention that IFS's Financial Management capabilities, with a score of 8.1, are robust and suitable for mid-market companies, but Zuper's focus on small businesses with a score of 8.3 in this area shows it is tailored for a different audience, making it more relevant for smaller operations.
- Users on G2 highlight that Zuper's Field Service Dispatch feature, scoring 8.5, is particularly effective for managing service operations, while IFS's score of 8.1 indicates it may not be as specialized, leading to a less efficient experience for users in the field service sector.
Pricing
Entry-Level Pricing
IFS Cloud
No pricing availableZuper
Starter
Contact Us
1 User Per Year
Get the essentials to manage jobs, track technicians, collaborate, and handle inventory and payments with ease.
- Manage one-off and recurring jobs with ease.
- Track technicians live via mobile and desktop apps.
- Customize job notes, statuses, and checklists.
Free Trial
IFS Cloud
No trial information availableZuper
No trial information availableRatings
Meets Requirements
8.1
220
8.8
112
Ease of Use
7.6
221
8.9
118
Ease of Setup
6.6
153
8.1
115
Ease of Admin
7.4
151
8.8
96
Quality of Support
6.4
214
9.6
113
Has the product been a good partner in doing business?
7.3
151
9.4
96
Product Direction (% positive)
8.1
214
9.9
109
Features by Category
Accounting
8.4
31
Not enough data
8.0
26
Not enough data
7.9
26
Not enough data
8.2
27
Not enough data
7.8
25
Not enough data
8.2
25
Not enough data
7.9
29
Not enough data
8.2
25
Not enough data
8.1
24
Not enough data
7.9
26
Not enough data
Inventory & Warehouse
8.9
31
Not enough data
8.5
32
Not enough data
8.6
32
Not enough data
8.3
30
Not enough data
8.1
27
Not enough data
7.9
23
Not enough data
8.5
24
Not enough data
8.1
16
Not enough data
Purchasing
8.3
32
Not enough data
8.8
31
Not enough data
7.9
26
Not enough data
8.4
31
Not enough data
Sales & Marketing
8.5
27
Not enough data
8.3
21
Not enough data
8.6
29
Not enough data
7.8
28
Not enough data
8.3
25
Not enough data
7.8
24
Not enough data
Manufacturing
8.1
28
Not enough data
7.4
24
Not enough data
7.6
23
Not enough data
8.2
28
Not enough data
8.3
27
Not enough data
8.3
28
Not enough data
7.7
21
Not enough data
8.4
22
Not enough data
Quality Management
8.1
24
Not enough data
7.7
25
Not enough data
7.1
21
Not enough data
7.5
24
Not enough data
7.7
20
Not enough data
7.7
22
Not enough data
8.0
22
Not enough data
Distribution
8.5
28
Not enough data
8.5
23
Not enough data
7.5
25
Not enough data
8.6
27
Not enough data
8.3
25
Not enough data
HR
8.2
13
Not enough data
7.8
20
Not enough data
7.4
24
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
48
Not enough data
6.8
48
Not enough data
6.8
52
Not enough data
7.1
59
Not enough data
6.5
36
Not enough data
7.6
65
Not enough data
7.5
68
Not enough data
7.5
61
Not enough data
7.3
53
Not enough data
7.1
53
Not enough data
7.5
74
Not enough data
7.0
50
Not enough data
7.5
53
Not enough data
7.2
46
Not enough data
7.7
50
Not enough data
7.7
57
Not enough data
7.5
53
Not enough data
7.4
64
Not enough data
Back Office
7.3
55
Not enough data
7.7
48
Not enough data
6.9
27
Not enough data
7.1
44
Not enough data
7.5
53
Not enough data
7.4
31
Not enough data
6.5
26
Not enough data
8.2
72
Not enough data
8.2
66
Not enough data
7.0
37
Not enough data
7.4
46
Not enough data
7.6
41
Not enough data
7.5
44
Not enough data
7.1
29
Not enough data
Front Office
6.9
32
Not enough data
6.1
25
Not enough data
7.2
40
Not enough data
7.6
36
Not enough data
6.8
30
Not enough data
6.8
21
Not enough data
6.8
23
Not enough data
7.4
49
Not enough data
7.4
43
Not enough data
6.6
30
Not enough data
7.1
50
Not enough data
7.1
42
Not enough data
6.6
21
Not enough data
6.4
22
Not enough data
6.8
23
Not enough data
6.8
32
Not enough data
Integration
6.7
34
Not enough data
7.2
63
Not enough data
7.3
59
Not enough data
Logistics
7.6
62
Not enough data
7.1
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
7.4
58
Not enough data
7.3
57
Not enough data
7.8
64
Not enough data
7.8
59
Not enough data
Platform
7.6
65
Not enough data
7.1
48
Not enough data
7.2
56
Not enough data
7.5
61
Not enough data
7.4
68
Not enough data
7.1
56
Not enough data
Production
7.6
61
Not enough data
6.5
41
Not enough data
7.1
49
Not enough data
6.9
48
Not enough data
7.2
45
Not enough data
6.8
37
Not enough data
7.5
57
Not enough data
7.3
50
Not enough data
7.2
39
Not enough data
7.5
53
Not enough data
6.9
35
Not enough data
7.4
49
Not enough data
Reporting & Analytics
7.3
62
Not enough data
7.4
64
Not enough data
7.3
57
Not enough data
Generative AI
6.3
10
Not enough data
6.4
12
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
19
Not enough data
6.9
19
Not enough data
7.5
17
Not enough data
Quality system
7.5
20
Not enough data
7.2
18
Not enough data
7.3
20
Not enough data
Risk Management
6.6
16
Not enough data
6.4
14
Not enough data
6.7
19
Not enough data
Inspection Management
6.4
18
Not enough data
7.3
19
Not enough data
7.0
18
Not enough data
Compliance
7.0
16
Not enough data
6.9
14
Not enough data
7.0
15
Not enough data
Platform
6.7
22
Not enough data
7.4
24
Not enough data
6.5
16
Not enough data
6.9
24
Not enough data
Services
7.4
23
Not enough data
6.4
25
Not enough data
6.4
24
Not enough data
6.2
21
Not enough data
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Before the Job
7.5
31
8.1
90
8.1
36
8.6
92
8.2
32
8.3
88
8.0
33
7.9
84
On the Job
7.9
39
7.9
89
7.8
38
8.5
91
7.7
31
8.0
80
7.4
32
8.1
79
7.3
11
6.9
70
After the Job
7.8
44
8.1
85
7.4
38
7.9
84
7.8
32
7.1
72
7.8
25
8.0
80
Agentic AI - Field Service Management
Not enough data
8.8
10
Not enough data
8.5
10
Not enough data
9.0
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 Zuper are categorized as Field Service Management
Unique Categories
IFS Cloud is categorized as Process ERP, Mixed Mode ERP, Discrete ERP, ETO ERP, Quality Management (QMS), Enterprise Asset Management (EAM), ERP Systems, Aviation MRO, Construction ERP, and Government ERP
Zuper has no unique categories
Reviews
Reviewers' Company Size
IFS Cloud
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Zuper
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
8.7%
Oil & Energy
8.0%
Information Technology and Services
7.2%
Electrical/Electronic Manufacturing
4.6%
Construction
4.6%
Other
66.9%
Information Technology and Services
9.7%
Consumer Services
9.7%
Construction
9.7%
Facilities Services
6.9%
Retail
4.2%
Other
59.7%
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
What is Zuper Pro used for?
1 Comment
Official Response from Zuper
Zuper is used to optimize service operations, enhance workforce productivity, and deliver exceptional customer service.
Zuper is the most flexible field...Read more
Zuper has no more 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.
