SAS
305 Case Studies
A SAS Case Study
Matas, Denmark’s largest health and beauty retailer with 300 stores, faced a scaling challenge: manual forecasting and replenishment consumed significant store staff time, caused stock‑outs, and made it difficult to centralize procurement as the company grew and added product lines. The retailer needed an automated, scalable logistics solution to free up employees for customer service and improve inventory accuracy.
Using SAS Inventory Optimization Workbench to automate forecasting, replenishment and supplier orders, Matas centralized planning and procurement while retaining store-level inventory control. The rollout cut store review time by about nine hours per week, materially reduced stock‑outs, enabled one person to manage thousands of SKUs, delivered millions in annual savings and showed potential to reduce capital tied up in inventory by up to 40%.
Jesper Amsinck
Logistics Manager