How To Fix WT005 - Forecast weighting could not be created


WT005 - Overview

  • Message type: E = Error

  • Message class: WT - Retail: Replenishment

  • Message number: 005

  • Message text: Forecast weighting could not be created

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message WT005 - Forecast weighting could not be created ?
    The SAP error message WT005: Forecast weighting could not be created typically occurs in the context of forecasting and planning within SAP, especially when working with demand planning (DP) or forecast models in SAP APO (Advanced Planning and Optimization) or related modules.
    
    Cause of WT005
    The error "Forecast weighting could not be created" usually indicates that the system failed to generate or assign the forecast weighting factors during the forecast calculation process. This can happen due to several reasons:
    
    
    Missing or Incorrect Forecast Weighting Parameters:
    
    The forecast model requires weighting factors to be defined for historical data points.
    If these weighting factors are missing, incomplete, or incorrectly maintained, the system cannot create the forecast weighting.
    
    
    
    Incorrect or Incomplete Forecast Model Setup:
    
    The forecast model assigned to the product/location or planning object might not be properly configured.
    For example, the weighting method or parameters might be missing or invalid.
    
    
    
    Data Issues:
    
    Historical data might be missing or inconsistent.
    The time series data

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