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Compare AIMMS Prescriptive Analytics Platform and Magaya Supply Chain 
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At a Glance
Market Segments
Enterprise (72.7% of reviews)
Small-Business (71.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
AIMMS Prescriptive Analytics Platform
Star Rating
(14)4.3 out of 5
Market Segments
Enterprise (72.7% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about AIMMS Prescriptive Analytics PlatformMagaya Supply Chain
Star Rating
(263)4.4 out of 5
Market Segments
Small-Business (71.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Magaya Supply ChainSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that AIMMS excels in forecasting capabilities with a score of 9.2, particularly in supply chain planning, while Magaya Supply Chain, although strong, scores slightly lower in this area, indicating that AIMMS may provide more accurate predictive analytics for demand management.
- Reviewers mention that AIMMS has a robust data collection feature for supply chain planning, scoring 9.2, which allows for comprehensive data analysis. In contrast, Magaya's data collection capabilities, while effective, do not reach the same level of sophistication, suggesting that AIMMS may be better suited for organizations needing detailed data insights.
- G2 users highlight that Magaya Supply Chain offers superior ease of use with a score of 8.7 compared to AIMMS's 8.0. This suggests that Magaya may be more user-friendly for small businesses or teams with less technical expertise, making it a more accessible option for those users.
- Users on G2 report that AIMMS has a higher score in custom reporting (8.0) compared to Magaya, which indicates that AIMMS may provide more flexibility and options for tailored reporting needs, a critical feature for businesses that require specific insights.
- Reviewers mention that Magaya Supply Chain shines in customer management features, particularly with its customer portal scoring 8.4, which allows for better engagement and visibility. AIMMS, while strong in analytics, does not focus as heavily on customer management, which could be a deciding factor for businesses prioritizing customer interaction.
- Users say that AIMMS has a more advanced approach to process automation in supply chain planning, scoring 9.0, which can lead to increased efficiency. In contrast, Magaya's automation features, while effective, do not match the level of AIMMS, indicating that AIMMS may be better for organizations looking to streamline operations significantly.
Pricing
Entry-Level Pricing
AIMMS Prescriptive Analytics Platform
No pricing availableMagaya Supply Chain
No pricing availableFree Trial
AIMMS Prescriptive Analytics Platform
Free Trial is available
Magaya Supply Chain
No trial information availableRatings
Meets Requirements
8.3
11
8.6
228
Ease of Use
8.0
11
8.7
228
Ease of Setup
7.1
8
8.2
188
Ease of Admin
6.5
8
8.2
105
Quality of Support
7.9
11
8.2
227
Has the product been a good partner in doing business?
8.5
9
8.1
104
Product Direction (% positive)
8.9
11
8.3
219
Features by Category
Analytics
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
8.1
48
Warehouse Management
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Carrier Management
Not enough data
8.1
158
Not enough data
7.8
151
Not enough data
8.0
152
Freight Modes
Not enough data
8.7
158
Not enough data
7.9
155
Not enough data
8.1
153
Customer Management
Not enough data
8.2
157
Not enough data
8.1
153
Not enough data
8.5
162
Planning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Scheduling
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Advanced Planning and Scheduling (APS)
Not enough data
Not enough data
Supply Chain Operations
Not enough data
8.3
59
Not enough data
8.2
57
Not enough data
8.3
56
Customer Management
Not enough data
7.7
59
Not enough data
8.2
59
Not enough data
8.1
60
Analytics
Not enough data
7.0
55
Not enough data
6.8
55
Not enough data
7.8
59
Accounting
Not enough data
8.3
26
|
Verified
Not enough data
7.6
26
|
Verified
Not enough data
7.7
25
|
Verified
Not enough data
7.8
25
|
Verified
Not enough data
8.1
25
|
Verified
Not enough data
7.6
24
|
Verified
Not enough data
Feature Not Available
Not enough data
7.6
25
|
Verified
Not enough data
8.3
25
|
Verified
Not enough data
8.4
25
|
Verified
Inventory
Not enough data
8.5
25
|
Verified
Not enough data
8.3
24
|
Verified
Not enough data
8.4
25
|
Verified
Not enough data
7.8
24
|
Verified
Not enough data
Feature Not Available
Warehousing
Not enough data
8.5
24
|
Verified
Not enough data
8.1
24
|
Verified
Not enough data
8.0
22
|
Verified
Purchasing
Not enough data
8.4
25
|
Verified
Not enough data
8.8
27
|
Verified
Not enough data
8.9
26
|
Verified
Not enough data
9.0
27
|
Verified
Sales & Marketing
Not enough data
8.5
24
|
Verified
Not enough data
7.7
22
|
Verified
Not enough data
8.3
24
|
Verified
Not enough data
8.6
22
|
Verified
Not enough data
8.1
24
|
Verified
Not enough data
7.9
23
|
Verified
Assembly
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Logistics
Not enough data
8.3
25
|
Verified
Not enough data
8.3
25
|
Verified
Not enough data
8.6
26
|
Verified
Not enough data
8.3
25
|
Verified
Not enough data
7.8
25
|
Verified
HR
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Generative AI
Not enough data
5.7
15
Not enough data
5.6
15
Agentic AI - Distribution ERP
Not enough data
6.0
7
Not enough data
5.7
7
Not enough data
7.1
7
Warehouse Definition
Not enough data
8.7
79
|
Verified
Not enough data
8.1
80
Not enough data
8.3
77
|
Verified
Logistics
Not enough data
8.5
78
|
Verified
Not enough data
8.7
83
Not enough data
7.9
78
|
Verified
Analytics
Not enough data
7.8
78
Not enough data
7.8
77
|
Verified
Not enough data
7.6
76
Inventory Management
Not enough data
8.2
80
Not enough data
8.3
78
|
Verified
Inventory Management Platform Features
Not enough data
8.8
97
|
Verified
Not enough data
8.3
93
|
Verified
Not enough data
8.3
93
Not enough data
7.9
86
|
Verified
Not enough data
7.9
85
|
Verified
Not enough data
8.3
84
|
Verified
Not enough data
7.7
84
|
Verified
Not enough data
7.6
83
Not enough data
7.8
91
Not enough data
8.6
99
|
Verified
Categories
Categories
Shared Categories
AIMMS Prescriptive Analytics Platform and Magaya Supply Chain are categorized as Supply Chain Planning and Supply Chain Suites
Unique Categories
AIMMS Prescriptive Analytics Platform is categorized as Advanced Planning and Scheduling (APS)
Magaya Supply Chain is categorized as Distribution ERP, Warehouse Management, 3PL, and Freight Management
Reviews
Reviewers' Company Size
AIMMS Prescriptive Analytics Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Magaya Supply Chain
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
Chemicals
36.4%
Information Technology and Services
18.2%
Utilities
9.1%
Oil & Energy
9.1%
Management Consulting
9.1%
Other
18.2%
Logistics and Supply Chain
38.4%
Import and Export
9.8%
Package/Freight Delivery
9.0%
Warehousing
8.2%
Transportation/Trucking/Railroad
8.2%
Other
26.3%
Alternatives
Discussions
AIMMS Prescriptive Analytics Platform has no discussions with answers
Is there anyway to create a cargo release directly from a warehouse receipt?
2 Comments
DR
Hi Felix,
That is something we can help you with! Please contact your Customer Success Manager for support to get started with that workflow.
Thanks,
DanyaRead more
how do I integrate Magaya Database with Micososot BI?
1 Comment
DR
Hi Manuel,
Sorry for the delay in responding. I trust that this has been resolved by now, but if you're still looking for support, please reach out directly...Read more
When is the customs module expected to be release for customs brokerage?
1 Comment
DR
Hi Latoria,
Sorry for the delay in responding! I trust you have gotten your question answered through other channels by now, but if not, please do reach out...Read more
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