Case Study: Leading Retailing Company boosts forecast accuracy and cuts $12.4M excess inventory with Teradata Demand Chain Management

This Luxury Retailer’s Efficient Omni-Supply Chain Network is Trendsetting

A multi-billion-dollar, internationally renowned luxury retailer with stores across the U.S. and Canada and a growing digital business was struggling with inventory and forecasting: legacy demand forecasts produced frequent over‑ and under‑stocks, excess safety inventory and markdowns, manual replenishment workarounds, and poor in‑store availability during peak periods—hurting margins, customer service, and inventory productivity.

The retailer implemented Teradata Demand Chain Management and Demand Chain Analytics, adopting forecast‑driven allocation, “hold and flow” replenishment, and automated performance ranking. Within months forecast accuracy improved by over 700 basis points, in‑stock performance on top sellers rose more than 28% at peak times, excess slow‑moving store back‑stock fell by $12.4M, inventory turnover increased 8% in year one, and reporting and replenishment work were significantly streamlined.