Altibase
73 Case Studies
A Altibase Case Study
Leading Electronics Appliance Retailer, a global leader with a major e-commerce presence, struggled with inventory forecasting because its legacy Oracle databases introduced latency that prevented real-time reconciliation of historical and dynamic sales data. On peak demand days the retailer repeatedly ran out of popular items (the “Showroom Phenomenon”), leaving it unable to predict when and what consumers would buy and forcing reactive rather than proactive inventory planning.
Altibase addressed the issue by deploying its in hybrid mode to process large volumes of historical and real-time data and deliver actionable, real-time demand predictions. As a result, Altibase enabled the retailer to eliminate low-demand SKUs and related carrying costs, increase supply of high-demand products in real time, deploy capital more effectively, and run stores at optimal inventory levels—drastically reducing overstock and waste.
Leading Electronics Appliance Retailer