Teradata
124 Case Studies
A Teradata Case Study
A leading national home-improvement retailer sought to deliver a seamless multichannel shopping experience but was held back by a highly manual, homegrown forecasting and fulfillment system. The legacy solution lacked accuracy, time-phased multi-echelon capabilities, and scalable forecasting across ~40,000 SKUs and thousands of stores, causing stock-outs, poor inventory productivity, and margin pressure.
Teradata deployed its Demand Chain Management suite in phased releases to provide daily/weekly forecasts and automated store, DC and vendor replenishment. Forecast accuracy improved ~30%, in-stocks rose above 99%, inventory turns increased 21% (reducing inventory by over $2B), gross margin improved ~1%, and ROI exceeded 10x—helping the retailer outpace competitors on sales growth and operational performance.
Leading National Retailer Marketing Home Improvement