How To Fix /SAPAPO/FCST123 - Error measure too large, new forecast profile generated

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/FCST -

• Message number: 123

• Message text: Error measure too large, new forecast profile generated

Self-Explanatory Message

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• What is the cause and solution for SAP error message /SAPAPO/FCST123 - Error measure too large, new forecast profile generated ?

  The SAP error message /SAPAPO/FCST123 indicates that the error measure for a forecast is too large, which leads to the generation of a new forecast profile. This typically occurs in the context of SAP Advanced Planning and Optimization (APO) when working with demand planning and forecasting.
  Cause:
  
  
  High Error Measure: The error measure (such as Mean Absolute Deviation, Mean Squared Error, etc.) calculated during the forecasting process exceeds a predefined threshold. This can happen due to:
  
  Inaccurate historical data.
  Significant fluctuations in demand.
  Seasonal effects not being properly accounted for.
  Changes in market conditions or product lifecycle.
  
  
  
  Forecast Profile Settings: The settings in the forecast profile may not be suitable for the data being analyzed, leading to poor forecasting results.
  
  
  Data Quality Issues: Missing or incorrect historical data can lead to unreliable forecasts, resulting in high error measures.
  
  
  Solution:
  
  
  Review Historical Data: Check the historical data for accuracy and completeness. Ensure that there are no missing values or outliers that could skew the forecast.
  
  
  Adjust Forecast Profile: 
  
  Review the settings of the forecast profile being used. 
  Consider adjusting parameters such as the forecast method, error measure thresholds, and seasonal factors.
  You may want to create a new forecast profile that is better suited to the specific characteristics of the data.
  
  
  
  Analyze Demand Patterns: Look for patterns in the demand data that may not be captured by the current forecasting method. This could include seasonality, trends, or promotional effects.
  
  
  Use Different Forecasting Methods: If the current method is not yielding satisfactory results, consider using alternative forecasting methods available in SAP APO, such as exponential smoothing or regression analysis.
  
  
  Consult Documentation: Refer to SAP documentation for detailed guidance on configuring forecast profiles and understanding error measures.
  
  
  Testing and Validation: After making adjustments, validate the new forecast by comparing it against actual demand to ensure that the error measure is within acceptable limits.
  
  
  Related Information:
  
  SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide additional guidance on forecasting in APO.
  Training and Resources: Consider training sessions or resources on demand planning and forecasting in SAP APO to better understand how to manage and configure forecast profiles effectively.
  Community Forums: Engage with SAP community forums or user groups where similar issues may have been discussed, and solutions shared.
  
  By addressing the underlying causes and adjusting the forecasting approach, you can mitigate the occurrence of this error and improve the accuracy of your forecasts in SAP APO.