Case Study: Leading Billion-Dollar Fashion Jewelry Chain achieves $28M annual savings with Impact Analytics’ Automated Inventory Replenisher

A Impact Analytics Case Study

Preview of the Leading Billion-Dollar Fashion Jewelry Chain Case Study

Leading Billion-Dollar Fashion Jewelry Chain - Customer Case Study

Leading Billion-Dollar Fashion Jewelry Chain, a fast fashion jewelry retailer with about 2,000 stores and 3,000 SKUs per store, was struggling with inefficient inventory management. The company faced major gaps between demand and stock on hand, frequent stock imbalances, and high labor and carrying costs from a largely heuristic replenishment process. Impact Analytics was brought in to address these inventory forecasting and replenishment challenges.

Impact Analytics implemented its Automated Inventory Replenisher (AIR) solution to forecast demand at a granular SKU-and-store level, improve replenishment decisions, and help users visualize and adjust forecasts through an intuitive interface. The results were significant: weeks of inventory were cut in half, stockouts dropped by 40%, and the customer achieved $28 million in annual savings, including $16 million from reduced inventory, $10 million from fewer stockouts, and $2 million from labor optimization.


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