
The agrifood industry combines high-volume operations with strict service requirements and raw materials whose availability depends on agricultural cycles. Danone's project illustrates why automated replenishment is a fitting answer: raw materials and packaging are the two key elements in the food sector supply chain, and they are the categories where forecast errors translate most directly into either obsolescence or supplier emergencies. Flowlity's deployment at Danone allowed replenishments to be digitalised and automated, with the planning team dynamically adjusting safety stock and replenishments rather than running fixed coverage rules. This shift improved service levels by reducing the risk of shortages and projected inventory reductions of 28% to 40% over one year. For food industry players considering similar projects, the Danone case shows that AI-driven replenishment can produce these results within a six-month pilot, before expanding into supplier synchronization for additional gains.