Users can take advantage of the enhancements available in Forecast Pro TRAC Version 4.1. This new release includes further improvements to the grid view, and substantial improvements to the “hierarchy shuffling” functionality.
Many organizations need to generate forecasts at very detailed levels. For example, a consumer products company may need an SKU-by-customer forecast, a shoe manufacturer may need a shoe-by-size forecast, or an automobile manufacturer may need a parts-level forecast. One approach to generating low-level forecasts is to apply statistical forecasting methods directly to the lowest-level demand histories. An alternative approach is to use statistical forecasting methods on more aggregated data and then to apply an allocation scheme to generate the lower-level forecasts.