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At a Glance
Market Segments
Mid-Market (63.4% of reviews)
Mid-Market (43.3% of reviews)
Entry-Level Pricing
No pricing available
$$-$$$ SaaS subscription - Per User Per Month
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 CloudInfor LN
Star Rating
(91)3.9 out of 5
Market Segments
Mid-Market (43.3% of reviews)
Pros & Cons
Entry-Level Pricing
$$-$$$ SaaS subscription - Per User Per Month
Browse all 2 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Infor LN excels in its General Ledger capabilities, particularly with a high score of 8.5 for Journal Entries, while IFS falls behind with a score of 7.2. Reviewers mention that the ease of tracking and managing journal entries is a significant advantage for Infor LN users.
- Reviewers mention that Infor LN's Chart of Accounts feature is highly rated at 9.4, showcasing its flexibility and customization options, whereas IFS scores 8.4. Users on G2 appreciate the ability to tailor accounts to their specific business needs in Infor LN.
- G2 users highlight that Infor LN's AP Automation feature is rated at 9.2, significantly outperforming IFS's score of 8.0. Reviewers say that the automation streamlines processes and reduces manual errors, making it a preferred choice for accounts payable management.
- Users say that IFS shines in its Inventory Tracking capabilities, scoring 8.9 compared to Infor LN's 8.0. Reviewers mention that IFS provides better visibility and control over inventory levels, which is crucial for businesses with complex supply chains.
- Reviewers mention that Infor LN's Cash Management feature is rated at 8.3, which is on par with IFS, but users report that Infor LN offers more robust tools for cash flow forecasting and management, making it a better option for financial planning.
- Users on G2 report that IFS has a more user-friendly interface, with an Ease of Use score of 7.6 compared to Infor LN's 7.7. However, reviewers mention that Infor LN's setup process is rated higher at 7.0, indicating a smoother onboarding experience for new users.
Pricing
Entry-Level Pricing
IFS Cloud
No pricing availableInfor LN
Infor LN Cloud
$$-$$$
SaaS subscription - Per User Per Month
LN ERP is at the core of several Industry CloudSuites offering end to end finance and manufacturing capabilities built in and the Infor Technology platform, Infor OS and Birst analytics. LN based CloudSuites are hosted on leading Amazon Web Services providing security and disaster recovery.
Free Trial
IFS Cloud
No trial information availableInfor LN
No trial information availableRatings
Meets Requirements
8.1
220
7.8
43
Ease of Use
7.6
221
7.5
44
Ease of Setup
6.6
153
7.0
31
Ease of Admin
7.4
151
7.2
28
Quality of Support
6.4
214
7.2
41
Has the product been a good partner in doing business?
7.3
151
7.3
28
Product Direction (% positive)
8.1
214
5.1
36
Features by Category
General Ledger
Not enough data
8.5
12
Not enough data
7.8
10
Not enough data
7.9
12
Accounts Receivable
Not enough data
8.6
11
Not enough data
8.0
10
Not enough data
8.1
8
Accounts Payable
Not enough data
8.2
10
Not enough data
7.7
11
Not enough data
8.5
11
Other Functionality
Not enough data
8.0
10
Not enough data
8.3
10
Not enough data
8.6
11
Not enough data
7.3
11
Not enough data
7.4
12
Not enough data
7.2
12
Not enough data
6.5
9
Not enough data
8.1
9
Reporting & Analytics
Not enough data
8.2
11
Not enough data
8.3
11
Not enough data
7.9
8
Not enough data
8.0
11
Platform
Not enough data
7.8
10
Not enough data
8.5
10
Not enough data
8.3
11
Not enough data
7.3
8
Not enough data
8.0
9
Not enough data
7.5
8
Integration
Not enough data
8.3
10
Not enough data
7.9
8
Not enough data
8.1
8
Cash Flow
Not enough data
7.2
6
Not enough data
7.9
7
Not enough data
7.7
8
Budgeting & Forecasting
Not enough data
7.9
8
Not enough data
7.9
8
Not enough data
7.1
8
Not enough data
7.9
8
Revenue
Not enough data
7.5
8
Not enough data
7.7
8
Not enough data
7.2
9
Payroll
Not enough data
7.2
6
Not enough data
6.1
6
Not enough data
7.6
7
Not enough data
7.6
7
AI
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
Mobile Applications - 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
Agentic AI - Accounting
Not enough data
Not enough data
Accounting
8.4
31
9.3
7
8.0
26
8.8
7
7.9
26
8.8
7
8.2
27
9.0
7
7.8
25
8.1
7
8.2
25
8.3
7
7.9
29
8.3
6
8.2
25
8.7
5
8.1
24
8.6
6
7.9
26
8.6
6
Inventory & Warehouse
8.9
31
9.0
7
8.5
32
7.9
7
8.6
32
8.3
7
8.3
30
8.6
7
8.1
27
9.2
6
7.9
23
8.1
6
8.5
24
8.8
7
8.1
16
Feature Not Available
Purchasing
8.3
32
8.7
5
8.8
31
9.4
6
7.9
26
9.2
6
8.4
31
9.2
6
Sales & Marketing
8.5
27
9.7
5
8.3
21
9.3
5
8.6
29
9.2
6
7.8
28
9.3
5
8.3
25
9.7
5
7.8
24
9.3
5
Manufacturing
8.1
28
8.3
7
7.4
24
Feature Not Available
7.6
23
8.9
6
8.2
28
8.3
6
8.3
27
8.6
6
8.3
28
8.8
7
7.7
21
Feature Not Available
8.4
22
Feature Not Available
Quality Management
8.1
24
8.6
6
7.7
25
8.1
6
7.1
21
8.3
6
7.5
24
8.3
6
7.7
20
8.1
6
7.7
22
8.6
6
8.0
22
7.8
6
Distribution
8.5
28
8.1
6
8.5
23
8.3
5
7.5
25
8.6
6
8.6
27
8.3
6
8.3
25
8.0
5
HR
8.2
13
7.3
5
7.8
20
7.0
5
7.4
24
7.7
5
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
8.1
6
8.6
12
7.5
6
8.0
11
6.9
6
7.6
11
8.7
5
7.8
12
8.6
6
Purchasing
8.0
9
Not enough data
8.3
11
Not enough data
8.5
10
6.0
5
8.8
11
8.0
5
Sales & Marketing
8.3
11
Not enough data
7.9
8
Not enough data
8.0
10
8.3
5
8.1
9
7.3
5
8.3
9
Not enough data
8.3
10
8.3
5
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
7.7
5
8.2
10
Not enough data
Process Manufacturing
7.2
6
Feature Not Available
7.1
8
Feature Not Available
7.2
6
Feature Not Available
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
7.0
5
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
7.7
5
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
7.4
7
Not enough data
7.8
6
Not enough data
7.8
6
Not enough data
7.6
7
Not enough data
7.6
7
Not enough data
7.5
6
Not enough data
7.0
5
Not enough data
8.1
6
Not enough data
8.1
6
Not enough data
8.1
6
Inventory
Not enough data
9.0
8
Not enough data
8.8
8
Not enough data
8.8
7
Not enough data
8.3
6
Not enough data
8.8
8
Warehousing
Not enough data
8.6
7
Not enough data
9.0
8
Not enough data
7.5
6
Purchasing
Not enough data
7.8
6
Not enough data
8.8
8
Not enough data
8.8
7
Not enough data
8.3
8
Sales & Marketing
Not enough data
8.8
8
Not enough data
8.3
5
Not enough data
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
8.8
8
Assembly
Not enough data
8.0
5
Not enough data
8.3
5
Not enough data
8.3
6
Logistics
Not enough data
8.3
7
Not enough data
8.6
6
Not enough data
8.5
8
Not enough data
8.1
7
Not enough data
8.7
5
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 - Distribution 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
7.9
13
6.8
48
8.1
14
6.8
52
8.5
11
7.1
59
7.9
13
6.5
36
8.1
12
7.6
65
8.1
15
7.5
68
7.9
15
7.5
61
8.2
16
7.3
53
8.6
12
7.1
53
8.2
13
7.5
74
8.2
17
7.0
50
8.0
11
7.5
53
8.2
14
7.2
46
8.7
13
7.7
50
8.5
13
7.7
57
8.2
13
7.5
53
8.2
14
7.4
64
8.5
12
Back Office
7.3
55
7.9
12
7.7
48
8.6
13
6.9
27
Feature Not Available
7.1
44
8.2
10
7.5
53
8.3
10
7.4
31
8.0
10
6.5
26
8.2
10
8.2
72
8.8
17
8.2
66
8.9
15
7.0
37
7.8
10
7.4
46
8.3
10
7.6
41
8.6
14
7.5
44
8.7
9
7.1
29
8.1
9
Front Office
6.9
32
8.3
8
6.1
25
Feature Not Available
7.2
40
9.0
7
7.6
36
8.7
9
6.8
30
8.5
8
6.8
21
8.9
6
6.8
23
8.9
6
7.4
49
8.9
9
7.4
43
Feature Not Available
6.6
30
7.4
9
7.1
50
9.0
12
7.1
42
8.0
11
6.6
21
Feature Not Available
6.4
22
Feature Not Available
6.8
23
7.8
10
6.8
32
7.3
8
Integration
6.7
34
8.3
7
7.2
63
8.6
15
7.3
59
7.9
12
Logistics
7.6
62
8.7
14
7.1
51
8.7
13
7.3
52
8.3
14
7.4
67
8.4
17
7.5
66
8.3
17
8.0
65
8.6
17
7.4
58
8.0
16
7.3
57
8.3
15
7.8
64
8.3
17
7.8
59
8.4
17
Platform
7.6
65
7.9
14
7.1
48
8.2
11
7.2
56
7.4
14
7.5
61
8.1
15
7.4
68
8.5
18
7.1
56
8.2
15
Production
7.6
61
8.6
15
6.5
41
8.2
12
7.1
49
8.8
11
6.9
48
7.7
16
7.2
45
8.2
11
6.8
37
7.9
12
7.5
57
7.6
14
7.3
50
7.7
14
7.2
39
7.4
14
7.5
53
8.1
15
6.9
35
7.8
10
7.4
49
7.6
14
Reporting & Analytics
7.3
62
7.7
14
7.4
64
8.1
14
7.3
57
7.7
16
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
Not enough data
Not enough data
Not enough data
Before the Job
7.5
31
Not enough data
8.1
36
Not enough data
8.2
32
Not enough data
8.0
33
Not enough data
On the Job
7.9
39
Not enough data
7.8
38
Not enough data
7.7
31
Not enough data
7.4
32
Not enough data
7.3
11
Not enough data
After the Job
7.8
44
Not enough data
7.4
38
Not enough data
7.8
32
Not enough data
7.8
25
Not enough data
Agentic AI - Field Service Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Accounting & Finance
Not enough data
Not enough data
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
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Categories
Categories
Shared Categories
IFS Cloud and Infor LN are categorized as Process ERP, Mixed Mode ERP, Discrete ERP, ETO ERP, and ERP Systems
Unique Categories
IFS Cloud is categorized as Quality Management (QMS), Enterprise Asset Management (EAM), Aviation MRO, Field Service Management, Construction ERP, and Government ERP
Infor LN is categorized as Accounting and Distribution ERP
Reviews
Reviewers' Company Size
IFS Cloud
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Infor LN
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%
Electrical/Electronic Manufacturing
13.4%
Automotive
10.4%
Mechanical or Industrial Engineering
9.0%
Information Technology and Services
6.0%
Logistics and Supply Chain
4.5%
Other
56.7%
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
Infor LN has no more discussions with answers
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