How to use /SAPAPO/SPPFCSTTRACK - SPP Historical Forecast

SAP Transaction Code - Details

• Transaction Code: /SAPAPO/SPPFCSTTRACK

  Description: SPP Historical Forecast

  Release: S/4HANA only

  Menu Path:

  • Logistics > Extended Service Parts Planning > Planning > Forecasting > Historical Forecasts

• • Program:

    Screen: 0

    Authorization Object:

  • Development Package: /SAPAPO/PUIA_FORECASTING

    Package Description: UI: Forecast

    Parent Package: /SAPAPO/PUIA

  • Module/Component: SCM-APO-SPP-SFC

    Description: Service Parts Forecast

Smart SAP Assistant

• SAP Tcode: /SAPAPO/SPPFCSTTRACK - SPP Historical Forecast

   Tracking
  
  Overview: 
  The SAP transaction code /SAPAPO/SPPFCSTTRACK is used to access the SPP Historical Forecast Tracking report. This report provides an overview of the historical forecast data for a specific product or product group. It allows users to compare the actual sales data with the forecasted data and analyze the accuracy of the forecast. 
  
  Functionality: 
  The SPP Historical Forecast Tracking report provides a detailed view of the historical forecast data for a specific product or product group. It displays the actual sales data, the forecasted data, and the difference between them. The report also provides an analysis of the accuracy of the forecast, allowing users to identify any discrepancies between the actual and forecasted data. 
  
  Step-by-step How to Use: 
  1. Access the SAP transaction code /SAPAPO/SPPFCSTTRACK. 
  2. Select a product or product group for which you want to view historical forecast data. 
  3. Select a time period for which you want to view historical forecast data. 
  4. View the actual sales data, forecasted data, and difference between them in the report. 
  5. Analyze the accuracy of the forecast by comparing the actual and forecasted data. 
  
  Other Recommendations: 
  It is recommended that users regularly review their historical forecasts in order to ensure that they are accurate and up-to-date. Additionally, users should take into account any external factors that may affect their forecasts when making decisions about future forecasts.