How did Danone improve its forecast accuracy with Flowlity?

Once integrated with Danone's SAP environment, Flowlity retrieved all past orders and inventory history over a two-year period. Using this data, the teams compared past stock forecasts with what Flowlity's algorithms would have proposed. On a three-month horizon, Flowlity's forecasts reached approximately 79% reliability versus around 30% for Danone's pre-existing forecasts. On a six-month horizon, the comparison was 67% versus 12%. The gap between the two approaches widens as the horizon lengthens, which matters specifically for raw materials and packaging: these categories require visibility several months ahead to coordinate with multi-tier supplier networks. The forecast improvement is the underlying driver of the inventory reduction projected over the next twelve months and of the better service level reported after the pilot.