A leading luxury footwear retailer reduces lost sales by 40% and maintains +90% in-stock rates with AI-native allocation and forecasting.
A leading luxury footwear retailer reduces lost sales by 40% and maintains +90% in-stock rates with AI-native allocation and forecasting.
2 PagesA leading luxury footwear retailer overcame major inventory challenges by adopting AI‑native allocation and forecasting, reducing lost sales by 40 percent while maintaining over 90 percent in‑stock rates. The retailer faced demand volatility driven by trends, celebrity influence, and economic shifts, along with complex size and style variations that made stocking difficult. Manual, Excel‑based allocation across retail, outlet, and e‑commerce channels led to imbalances, with some stores selling out while others held excess stock. Costly cross‑store transfers added friction. AI‑driven forecasting improved demand accuracy, optimized allocation by size and location, and delivered consistent availability with fewer inefficiencies.
