Data prep for 6 stores took 3 hours. AI processes 209 stores in 50 minutes, catching seasonal trends that moving averages missed.
A leading Japanese DIY home improvement retailer operating over 200 stores in a $22 billion industry.
A fixed-order-quantity system relying on moving averages failed to predict demand for seasonal products or short-term trends. Scaling the forecasting...
“The aim of AI-powered demand forecasting is to study sales patterns and optimize the ordering process per store. Sales predictions had previously been done by our experienced in-house distributors, but there was a significant difference in accuracy between experienced and new distributors.”
Home improvement and DIY retailer for lifestyle and household products.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
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