Manual analysis failed to track 3,000 new yearly items. AI now runs 6M daily predictions, automatically triggering warehouse replenishment.
One of Europe's leading retailers operates 900 stores and 24,300 depots with a unique business model involving fast-changing weekly sales phases for over 3,000 new products annually.
A manually maintained analytics solution failed to accurately predict demand for the rapidly rotating catalog, causing frequent overstock logistics...
“If we supply a branch with too many goods, we have to pick them up again and then bring them somewhere else, which means logistics costs with every process. But if the goods that people want are out of stock and not available in the online shop, we'll lose business.”
Coffee roaster and retailer with weekly rotating non-food product lines.
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