This global consumer packaged goods (CPG) company manufactures all its goods in-house and distributes them to consumers through various retailers. The organization tracks customer fill rates to gauge its service performance, aiming to complete retailer orders in a timely manner without fail. When changes in the business environment made demand harder to predict, customer fill rate objectives became more difficult to achieve. Deploying e2open Demand Sensing first, the company was able to reduce forecasting error by 40%. Combining the power of e2open Demand Signal Management with Demand Sensing yielded an additional 12% reduction in forecasting error. Check out this case study to learn how the company effortlessly brought real-time retail demand signals into its forecasts, achieved higher customer fill rates and realized more than $1 million in operational improvements.
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