Retalon
6 Case Studies
Case Study: La Maison Simons achieves AI-driven demand forecasting and inventory optimization with Retalon
A Retalon Case Study
La Maison Simons - Customer Case Study
La Maison Simons, a growing Canadian fashion retailer with large-format stores and a dynamic, highly seasonal assortment, struggled to scale operations while maintaining a boutique customer experience. Forecasting demand for sporadic or new SKUs, building accurate size curves, handling complex promotions, and manually generating store shipments were key pain points, so Simons engaged Retalon and its AI-driven predictive analytics platform (demand forecasting, purchasing, replenishment, allocation, promotions optimization, etc.) to address them.
Retalon implemented its unified AI engine to deliver accurate demand forecasts (including low-volume and new items), size-curve construction, automated purchasing/replenishment recommendations, and promotion planning and adjustment. As a result Retalon improved promotional forecast accuracy by 40%, significantly reduced manual labor and related costs, cut markdowns and out-of-stocks through better size and allocation decisions, and helped Simons operate more efficiently and sustainably.
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La Maison Simons
Peter Simons
President and CEO