Boggi Milano Inventory Efficiency Improvement Case Study

This case study details how Boggi Milano, a luxury men’s fashion brand, partnered with Evo to implement Evo InventoryAI, an innovative supply chain solution aimed at enhancing inventory efficiency. The document outlines the challenges faced by Boggi Milano, including limited space for slow-selling items, high logistics costs, and the need for internal buy-in for automated allocation decisions. The implementation of Evo InventoryAI allowed for real-time inventory allocation based on local demand, resulting in a 4% increase in sales and an 18% improvement in inventory efficiency during a seven-week pilot test. The system's prescriptive AI analyzed historical sales data and market conditions to forecast customer needs, enabling better product distribution across stores. The case study emphasizes the significant reduction in forecast errors by 72%, which improved customer service levels and minimized stockouts. Overall, the collaboration with Evo transformed Boggi Milano's approach to inventory management, demonstrating that reducing stock can lead to greater efficiency when supported by advanced technology.