RetailCo cuts stockouts 30% with Langsat

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The challenge

RetailCo’s merchandising team was forecasting weekly demand across 40,000 SKUs using a patchwork of Excel models. Stockouts on fast-movers were costing an estimated $3M/year in lost sales, while overstock tied up working capital.

The Langsat approach

• Connected their existing Snowflake warehouse
• Trained a relational model across orders, inventory, promotions, and store metadata
• Deployed via a daily SQL batch that writes forecasts back into their BI tool

Outcomes after 6 months

• 30% reduction in stockout incidents
• 18% reduction in overstock holding cost
• Merchandising team now spends 2 hrs/week on forecasts (down from 2 days)

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