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- Oracle Retail Merchandising-vs-RELEX Solutions
Compare Oracle Merchandise Operations Management and RELEX 
At a Glance
Market Segments
Enterprise (60.0% of reviews)
Enterprise (55.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Oracle Merchandise Operations Management
Star Rating
(21)4.4 out of 5
Market Segments
Enterprise (60.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Oracle Merchandise Operations ManagementRELEX
Star Rating
(18)4.6 out of 5
Market Segments
Enterprise (55.6% of reviews)
Entry-Level Pricing
No pricing available
Learn more about RELEXSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Oracle Merchandise Operations Management excels in Data Collection - Supply Chain Planning with a score of 9.3, indicating robust capabilities in gathering and analyzing supply chain data, while RELEX, although strong, does not match this level of performance.
- Reviewers mention that RELEX shines in Ease of Use with a score of 8.4 compared to Oracle's 7.9, suggesting that users find RELEX more intuitive and user-friendly, which can lead to quicker onboarding and adoption.
- G2 users highlight that Oracle's Product Direction is rated a perfect 10.0, indicating strong confidence in the product's future development and enhancements, whereas RELEX's score of 8.2 suggests some uncertainty among users regarding its long-term roadmap.
- Users on G2 report that RELEX offers superior Quality of Support with a score of 8.3, compared to Oracle's 7.9, indicating that users feel more supported and satisfied with the assistance they receive from RELEX.
- Reviewers mention that Oracle's Business Reporting - Supply Chain Planning is highly rated at 9.4, showcasing its strong capabilities in generating insightful reports, while RELEX does not provide a comparable level of reporting functionality.
- Users say that RELEX's Collaboration features, particularly in Inventory Collaboration, are more advanced, allowing for better communication and coordination among teams, which is crucial for effective supply chain management.
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Pricing
Entry-Level Pricing
Oracle Merchandise Operations Management
No pricing availableRELEX
No pricing availableFree Trial
Oracle Merchandise Operations Management
No trial information availableRELEX
No trial information availableRatings
Meets Requirements
8.6
11
8.4
15
Ease of Use
7.9
11
8.4
15
Ease of Setup
7.6
7
7.9
11
Ease of Admin
7.9
7
8.6
11
Quality of Support
7.9
11
8.3
14
Has the product been a good partner in doing business?
8.3
8
8.9
12
Product Direction (% positive)
10.0
9
8.2
13
Features by Category
Promotions
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Optimization
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
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Campaigns
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Marketing - Trade Promotion 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
Not enough data
Not enough data
Merchandise
Not enough data
Not enough data
Reporting and Analytics
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
Assortment Planning and Optimization
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
Not enough data
8.1
6
Not enough data
Not enough data
Not enough data
9.3
5
Not enough data
9.4
6
Warehouse Management
Not enough data
Not enough data
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Collaborate
Not enough data
Not enough data
Not enough data
Not enough data
Logistics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform Additional Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform 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
Platform Basics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Planogram Creation
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
Planogram 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
Not enough data
Not enough data
Not enough data
Not enough data
Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Multichannel inventory management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
3PL inventory management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Inventory 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
Not enough data
Not enough data
Inventory Management Platform Features
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
Analytics
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
8.7
5
Collaboration
Not enough data
8.7
5
Not enough data
9.3
5
Not enough data
8.7
5
Not enough data
Not enough data
Planning
Not enough data
9.3
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.3
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Warehouse Definition
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Logistics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Inventory Management
Not enough data
Not enough data
Not enough data
Not enough data
Inventory Management Platform Features
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
Engagement
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
Integration
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
Live selling
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
Not enough data
Not enough data
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
Supplier Collaboration - Supply Chain Business Networks
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
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
Workforce Management Platform Features
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
Categories
Categories
Shared Categories
Oracle Merchandise Operations Management and RELEX are categorized as Retail Assortment Planning and Inventory Control
Unique Categories
Oracle Merchandise Operations Management has no unique categories
Reviews
Reviewers' Company Size
Oracle Merchandise Operations Management
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
RELEX
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
Retail
55.0%
Information Technology and Services
30.0%
Food & Beverages
5.0%
Consumer Services
5.0%
Consumer Goods
5.0%
Other
0.0%
Retail
55.6%
Logistics and Supply Chain
11.1%
Wholesale
5.6%
Pharmaceuticals
5.6%
Information Technology and Services
5.6%
Other
16.7%
Most Helpful Reviews
Oracle Merchandise Operations Management
Most Helpful Favorable Review
Christopher T.
Verified User in Retail
We use oracle RMS in the department store company I currently work for, wich is one of the largest department stores in central america. The product is great, we also have other oracle appd like reim and sim along with rms. It is very stable, RMS...
Most Helpful Critical Review
vikas k.
Verified User in Retail
RESA having typical transaction management. Dimps creation for employee, marchandise, items and tax dimp creation is not complex but this is repetitive task and if any thing wrong on dimps it is impacting on stores after consumption
RELEX
Most Helpful Favorable Review
Luigi E.
Verified User in Pharmaceuticals
The flexibility and speed of the product
Most Helpful Critical Review
Andreas M.
Verified User in Retail
Not fully compatible with fright limits. That unfortunately is a big one. Forecasting can not calculate with freight limits (collective orders). Also many functions and features is not compatible with freight limits.
Christopher T.
Verified User in Retail
We use oracle RMS in the department store company I currently work for, wich is one of the largest department stores in central america. The product is great, we also have other oracle appd like reim and sim along with rms. It is very stable, RMS...
Luigi E.
Verified User in Pharmaceuticals
The flexibility and speed of the product
vikas k.
Verified User in Retail
RESA having typical transaction management. Dimps creation for employee, marchandise, items and tax dimp creation is not complex but this is repetitive task and if any thing wrong on dimps it is impacting on stores after consumption
Andreas M.
Verified User in Retail
Not fully compatible with fright limits. That unfortunately is a big one. Forecasting can not calculate with freight limits (collective orders). Also many functions and features is not compatible with freight limits.
Discussions
Oracle Retail Merchandising System
1 comment
AL
Retail Merchandising SystemRead more
Which Tran code is posted when we receive a transfer shipment in RMS?
1 comment
RS
The phrase "Process id" is already in English and refers to the identification number assigned to a process in a computer's operating system.Read more
Oracle Merchandise Operations Management has no more discussions with answers
RELEX has no discussions with answers
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