Assortment & Merchandising Optimization
Optimize what to stock where (assortment and shelf space) from local demand instead of gut feel.
Solution Overview
The Challenge
Assortment and shelf space are set centrally and applied broadly, so a store in a business district carries the same range as one in a residential suburb and both get it partly wrong.
- 1One-size-fits-all assortment ignoring genuine local demand differences
- 2Dead stock and stockouts coexisting across stores for the same SKU
- 3Manual planogram and space planning too slow to keep pace with demand shifts
Our Approach
CloudGate models localized demand and profitability by store, cluster and SKU to recommend assortment and shelf-space allocation that reflects each location's actual customer base.
- Store-level assortment recommendations driven by localized demand modeling
- Shelf-space and planogram optimization weighted by margin contribution
- Store clustering by demand pattern rather than by geography alone
Typical Outcomes
Typical outcomes for this solution pattern, not the results of a named client engagement.
Technologies Used
More Success Stories
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Give store associates a copilot in Teams for product info, procedures and shift tasks, on the devices they already carry.