How To Fix /SAPAPO/PINV061 - &1, &2: SFT deviates largely from previous SFT

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/PINV -

• Message number: 061

• Message text: &1, &2: SFT deviates largely from previous SFT

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message /SAPAPO/PINV061 - &1, &2: SFT deviates largely from previous SFT ?

  The SAP error message /SAPAPO/PINV061 indicates that there is a significant deviation in the Supply Forecasting Tool (SFT) compared to previous forecasts. This message typically arises in the context of SAP Advanced Planning and Optimization (APO) when the system detects that the new forecast values differ substantially from historical data or previous forecasts.
  Cause:
  
  Data Changes: The underlying data used for forecasting may have changed significantly, such as sales patterns, market conditions, or customer demand.
  Forecasting Model: The forecasting model or parameters may have been altered, leading to different results.
  Outliers: There may be outliers in the historical data that are affecting the forecast calculations.
  Seasonality: Changes in seasonality or trends that were not accounted for in the previous forecasts.
  Input Parameters: Changes in input parameters or settings in the forecasting process can lead to significant deviations.
  
  Solution:
  
  Review Forecasting Parameters: Check the parameters and settings used in the forecasting model to ensure they are appropriate for the current data.
  Analyze Historical Data: Look at the historical data to identify any anomalies or trends that may have influenced the new forecast.
  Adjust Forecasting Model: If necessary, adjust the forecasting model or switch to a different model that may better fit the current data.
  Consult with Stakeholders: Engage with relevant stakeholders (e.g., sales, marketing) to understand any changes in demand or market conditions that could explain the deviation.
  Review Outliers: Identify and assess any outliers in the historical data that may be skewing the forecast.
  Run Sensitivity Analysis: Conduct sensitivity analysis to see how changes in input parameters affect the forecast.
  
  Related Information:
  
  SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide guidance on best practices for forecasting in APO.
  Documentation: Review SAP documentation on forecasting methods and best practices to ensure that the forecasting process is being followed correctly.
  Training: Consider training for users involved in the forecasting process to ensure they understand how to interpret and respond to deviations in forecasts.
  
  By addressing the underlying causes and implementing the suggested solutions, you can mitigate the occurrence of this error and improve the accuracy of your forecasts in SAP APO.