Forecast Accuracy Assessment - Cargill
Stijn Rutjes | October 25, 2011 | Process
For Cargill Starch & Sweeteners EyeOn has conducted a Statistical Forecast Assessment. Via this assessment, Cargill has gained insight in the optimal statistical forecasting model and the target forecast accuracy that can be achieved for their various market regions. The assessment has shown that the current demand planning process without statistical forecast results in a reasonable good forecast accuracy but higher accuracy can be achieved when using statistical forecasting models.
