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. Leveraging E2open’s integrated platform, the CPG company was initially able to reduce forecasting error by 40%. Then, by combining E2open’s Demand Sensing and Demand Signal Management applications, the organization gained an additional 12% forecasting error reduction. 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.