Lack of optimization in production scheduling
Danone is a large purchaser of milk directly from farms. They have to commit to buying milk months in advance before they have a clear picture of category-level demand. At the production scheduling stage, they had trouble optimizing how to best use this milk supply, which SKUs to prioritize, and when to re-sell raw milk.
With o9’s optimization engine for production scheduling, Danone knows which SKUs are optimal to produce and when they should produce them. The optimization engine will also notify them when they should re-sell raw milk or a WIP product.