Linked SKU changes to track product history and clean abnormal demand
Automated forecasting algorithms with demand planner adjustments overlay
Engaged commercial team in monthly forecast reviews with approval process
Natra, a chocolate manufacturer with 78 years of history operating in more than 90 countries with over 1,000 employees, faced critical demand planning challenges. The company struggled with tracking historical information due to continuously changing SKUs, had no official forecasting tool beyond an Excel file with add-ins, experienced poor forecast accuracy, and lacked commercial team involvement in monthly forecast reviews.
Working with Keyrus, Natra implemented Anaplan. The project was divided into phases: first for demand planners to build draft proposals using statistical models and cleaned historical data, then for the commercial team with approval workflows extending to the CCO.
Key results include company-wide adoption where everyone uses one set of numbers, improved forecast accuracy with direct impact on customer service levels, better inventory management across plants, and more.
