Optimizing inventory replenishment with AI resulting in a top-line growth of EUR 10 million

With over 1,000 different products, the company faced the critical task of avoiding out-of-stock situations. They needed to ensure the right levels and composition of inventory at both the main depot and regional warehouses to fulfill sales in the coming weeks. Therefore, ML6 built an AI-driven sales forecasting system. By analyzing historical data and market trends, the AI model could accurately predict sales for the next six weeks at the product level, allowing for proactive inventory management. The results were substantial. The company saw a significant reduction in missed sales due to inventory shortages, leading to a top-line growth opportunity of EUR 10 million. This optimization not only improved customer satisfaction but also streamlined operations and boosted overall revenue.