Case Study: Store Retailer achieves 37% better forecast accuracy with Teradata

Iconic Retailer Styles by Optimizing Their Omnichannel

Store Retailer, a premiere department store chain, needed a more flexible and automated way to support its omnichannel fulfillment strategy and localized merchandising goals. Its legacy forecasting and fulfillment process was highly manual, inaccurate, and weak at handling seasonality and slow-moving items, causing stock-outs, excess inventory, and lost sales.

Teradata implemented its Demand Chain Management Forecasting and Fulfillment solution in a phased rollout to improve forecasting, replenishment, and inventory planning across stores, distribution centers, and fulfillment centers. Teradata helped Store Retailer improve forecast accuracy by 37%, reduce stock-outs by 45–75%, cut weeks of supply by 23%, lower inventory by over $300 million, and generate more than $50 million in annual benefits, with ROI estimated at over 5x in the first three years.