Allocating in Style
Company Size
1,000+
Region
- Africa
Country
- South Africa
Product
- JDA® Allocation
- JDA® Enterprise Planning
Tech Stack
- Not mentioned
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Functional Applications - Enterprise Resource Planning Systems (ERP)
- Functional Applications - Inventory Management Systems
Applicable Industries
- Retail
Use Cases
- Inventory Management
About The Customer
Ackermans is a South African retailer with over 450 stores. The company offers a range of attractive, stylish merchandise. However, it was facing challenges in accurately allocating merchandise across its stores due to a labor-intensive process. The allocation was not based on actual shopper needs, leading to stock being sent to the wrong locations or not being sent at all. Ackermans was already using JDA Enterprise Planning to manage its strategic, merchandising, and location plans, but needed a solution to improve efficiency and productivity in allocation.
The Challenge
South African retailer Ackermans, with over 450 stores, was facing challenges in accurately allocating merchandise across its stores. The process was labor-intensive and resulted in missed sales opportunities at the individual store level. The allocation was not based on actual shopper needs, leading to stock being sent to the wrong locations or not being sent at all. Ackermans was already using JDA Enterprise Planning to manage its strategic, merchandising, and location plans, but needed a solution to improve efficiency and productivity in allocation.
The Solution
Ackermans implemented JDA Allocation to automate the merchandise planning process and ensure the right level of stock in each store. The focus of the implementation was to add the 'consumer need' variable to drive the allocation calculation. The implementation was completed in about three months. The use of JDA Allocation has resulted in significant efficiency and productivity gains. The time taken to do an allocation per item has been reduced, and planners are now able to plan about twice as many items as before. The solution has also increased confidence that the right products are being sent to the right stores by targeting local consumer demand and matching specific products to that demand.
Operational Impact
Quantitative Benefit
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