- Log In |
- Solutions |
- Company Information |
- Clients |
- News |
- Careers |
- Contact Us
Assortment Optimization
In order to determine optimal store assortments, retailers must consider financial and strategic objectives, historical sell-thru and missed opportunities, local demographics, and many other factors. Though much of this data is available to them, the volume and complexity prevents them from effectively leveraging it. Instead, merchants are forced to rely on intuition and their own number crunching, resulting in unnecessary missed sales opportunities and excessive markdowns.
Inventory Optimization: Generates the recommended distribution of purchasing dollars across various categories of merchandise (e.g. fashion, basics, key items, etc.) required to maximize gross margin
Class/Location Optimization: Recommends the dollars and units by class for each store required to maximize gross margin
SKU Optimization: Recommends the number of style/colors by class by store and the associated units required to maximize gross margin
With 7thOnline Assortment Optimization, retailers can be confident that they are investing in a merchandise mix for each store that maximizes profit potential. Based on historical performance, customer data, and strategic objectives, 7thOnline Assortment Optimization generates the optimal category, class, and SKU breadth and depth to meet local demand while incorporating the necessary constraints. The optimization can be performed at various levels depending upon the retailer's requirements:
Inventory Optimization: Generates the recommended distribution of purchasing dollars across various categories of merchandise (e.g. fashion, basics, key items, etc.) required to maximize gross margin
Class/Location Optimization: Recommends the dollars and units by class for each store required to maximize gross margin
SKU Optimization: Recommends the number of style/colors by class by store and the associated units required to maximize gross margin
| KEY FEATURES |
|---|
|
| KEY BENEFITS |
|---|
|
