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Compare Oracle Merchandise Operations Management and Quant 
Featured Products
At a Glance
Market Segments
Enterprise (60.0% of reviews)
Enterprise (40.7% of reviews)
Entry-Level Pricing
No pricing available
€1,200.00 1 User Per Year
Oracle Merchandise Operations Management
Star Rating
(21)4.4 out of 5
Market Segments
Enterprise (60.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Oracle Merchandise Operations ManagementQuant
Star Rating
(55)4.8 out of 5
Market Segments
Enterprise (40.7% of reviews)
Pros & Cons
Entry-Level Pricing
€1,200.00 1 User Per Year
Browse all 2 pricing plansOracle Merchandise Operations Management vs Quant
When assessing the two solutions, reviewers found Quant easier to use, set up, and administer. Reviewers also preferred doing business with Quant overall.
- Reviewers felt that Quant meets the needs of their business better than Oracle Merchandise Operations Management.
- When comparing quality of ongoing product support, reviewers felt that Quant is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Oracle Merchandise Operations Management over Quant.
Pricing
Entry-Level Pricing
Oracle Merchandise Operations Management
No pricing availableQuant
Basic
€1,200.00
1 User Per Year
Ideal for producers, distributors or agencies who need to effectively create standalone planograms.
- Effectively create standalone planograms.
- Product and equipment library.
- Export planograms to PDF, XLSX, SVG, JPG.
Free Trial
Oracle Merchandise Operations Management
No trial information availableQuant
Free Trial is available
Ratings
Meets Requirements
8.6
11
9.5
39
Ease of Use
7.9
11
8.8
40
Ease of Setup
7.6
7
8.2
22
Ease of Admin
7.9
7
8.8
22
Quality of Support
7.9
11
9.9
40
Has the product been a good partner in doing business?
8.3
8
9.8
20
Product Direction (% positive)
10.0
9
9.7
39
Features by Category
Merchandise
Not enough data
Not enough data
Reporting and Analytics
Not enough data
8.6
12
Not enough data
7.8
10
Not enough data
8.5
13
Not enough data
9.5
17
Not enough data
8.2
12
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Warehouse 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
Planogram Creation
Not enough data
9.1
19
Not enough data
9.4
18
Not enough data
9.6
20
Not enough data
9.4
15
Not enough data
9.2
16
Planogram Management
Not enough data
9.2
18
Not enough data
9.3
20
Not enough data
9.4
19
Not enough data
8.9
17
Not enough data
8.3
14
Not enough data
7.8
15
Analysis
Not enough data
9.2
10
Not enough data
9.3
15
Not enough data
9.2
16
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
Not enough data
Collaboration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Payment
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
Checkout
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
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
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
Customer Management
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Not enough data
Team 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
Help and support
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
In-store tasks - Retail Task Management Software
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
Task management - Retail Task Management Software
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics and reporting - Retail Task Management Software
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 Quant are categorized as Retail Assortment Planning
Unique Categories
Oracle Merchandise Operations Management is categorized as Inventory Control
Quant is categorized as Retail Space Planning, Retail Task Management, Retail Management Software, Demand Planning, and Supply Chain Planning
Reviews
Reviewers' Company Size
Oracle Merchandise Operations Management
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Quant
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
33.3%
Pharmaceuticals
16.7%
Apparel & Fashion
9.3%
Building Materials
7.4%
Automotive
5.6%
Other
27.8%
Discussions
What does Oracle RMS stand for?
1 Comment
AL
Retek Merchandising SystemRead more
Oracle Merchandise Operations Management has no more discussions with answers
If a user can successfully use Quant in a region, do you ask them to assist you to give on-ground training in that particular region?
3 Comments
ف
Good and useful application.Read more
What are quant tools?
1 Comment
NL
It's a planogram making & products/category management software for retail store.Read more
Quant has no more discussions with answers
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