Short-Term Forecasting
In short-term forecasting for SAP Supply Network Collaboration (SAP SNC), the supplier can refine the statistical forecast by breaking it down into daily or sub-daily time buckets. To calculate daily or sub-daily time buckets, SAP SNC uses time-based disaggregation factors. In short-term forecasting, the supplier can display baseline forecast data and promotion data as well as calculate stockout data and projected sales data. The supplier releases the short-term forecast or projected sales data to replenishment planning.
Features
Web Screens for Short-Term Forecasting
In the responsive replenishment view and the supplier view of the SAP SNC Web UI, the supplier can display and edit forecast data and short-term forecast parameters. For more information, see Web Screens for Short-Term Forecasting.
Key figures for Short-Term Forecasting
Short-term forecasting offers various key figures to help the user analyze the forecast data. For more information, see Key Figures in Short-Term Forecasting.
Time-Based Disaggregation Factors
To break down the weekly time buckets from statistical forecasting into daily or sub-daily time buckets, SAP SNC uses time-based disaggregation factors. The time-based disaggregation factor distributes the quantities from the statistical forecast into daily time buckets. SAP SNC can calculate time-based disaggregation factors automatically, base the time-based disaggregation factors on the distribution patterns of the customer’s historical data, or use exponential smoothing factors.
Calculating Stockouts to Refine Corrected History Data
SAP SNC refines corrected history data using stockout data in short-term forecasting as follows:
SAP SNC can trigger a stockout calculation automatically using Planning Service Manager.
To refine the corrected history data using stockout data that the customer has sent to SAP SNC, SAP SNC uses the formula “corrected history data + stockout data from customer = refined corrected history data”.
SAP SNC can use stockout data that the customer has sent to SAP SNC using a
ProductActivityNotification
XML message.To refine the corrected history data using the stockout calculation, SAP SNC must first ensure that the forecast data is greater than the corrected history data and that the inventory is 0. If SAP SNC meets this criteria, SAP SNC calculates the stockout data using the formula “forecast data - corrected history data = stockout data”. To refine the corrected history using the stockout data, SAP SNC uses the formula “corrected history data + calculated stockout = refined corrected history data”.
Calculating Projected Sales
The supplier can calculate projected sales data from the forecast data received from statistical forecasting. For more information, see Calculation of Projected Sales.