How did Groupe Lemoine improve its service level with Flowlity?

By unifying planning data across Lemoine's European network in France, the Netherlands, Spain, Germany, and Estonia, Flowlity replaced manual SKU-by-SKU reviews with exception-based alerts that surface only the items needing attention. The team raised service level by 5 points on the full scope, with peaks of 11 points on specific segments such as cotton pads where demand variability was hardest to forecast manually.

Product availability reached above 98% across the network, supported by AI-sized buffers that account for both demand uncertainty and supplier lead time risk. Critically, this happened while inventory pressure on working capital actually decreased, because the AI right-sized buffers SKU by SKU rather than applying the broad safety margins that planners used to add by default.

The unified view also standardized planning decisions, so the same product gets the same logic regardless of which factory makes it. A similar service-level transformation has been documented in industrial spare-parts contexts, notably the AI demand forecasting case study at Saint-Gobain Sekurit across 30 distribution centers.