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How To Fix /SAPAPO/FCST153 - MAPE for MLR forecasting using POS: &1


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SAPAPO/FCST -

  • Message number: 153

  • Message text: MAPE for MLR forecasting using POS: &1

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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.

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Smart SAP Assistant

  • What is the cause and solution for SAP error message /SAPAPO/FCST153 - MAPE for MLR forecasting using POS: &1 ?

    The SAP error message /SAPAPO/FCST153 MAPE for MLR forecasting using POS: &1 typically indicates an issue related to the Mean Absolute Percentage Error (MAPE) calculation in the context of Multi-Level Regression (MLR) forecasting using Point of Sale (POS) data in SAP Advanced Planning and Optimization (APO).

    Cause:

    1. Data Quality Issues: The error may arise due to missing, incorrect, or inconsistent data in the POS data set. If the data used for forecasting is not reliable, it can lead to inaccurate MAPE calculations.
    2. Insufficient Historical Data: MLR forecasting requires a sufficient amount of historical data to generate reliable forecasts. If there is not enough data, the MAPE cannot be calculated properly.
    3. Configuration Issues: Incorrect settings in the forecasting model or parameters can lead to errors in the calculation of MAPE.
    4. Zero or Negative Values: MAPE is sensitive to zero or negative actual values in the dataset. If the actual sales data contains zeros, it can lead to division by zero errors or undefined MAPE values.

    Solution:

    1. Data Validation: Check the POS data for completeness and accuracy. Ensure that there are no missing values and that the data is consistent.
    2. Increase Historical Data: If the dataset is too small, try to include more historical data to improve the reliability of the MLR forecasting.
    3. Review Configuration: Verify the configuration settings for the forecasting model. Ensure that all parameters are set correctly and that the model is appropriate for the data being used.
    4. Handle Zero Values: If there are zero or negative values in the actual sales data, consider using alternative metrics for error calculation or adjust the data to avoid these issues. For example, you might want to exclude zero sales periods from the MAPE calculation.
    5. Consult Documentation: Refer to SAP documentation or help resources for specific guidelines on MLR forecasting and MAPE calculations.

    Related Information:

    • SAP Notes: Check SAP Notes for any known issues or patches related to this error message.
    • SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they have found.
    • Training and Documentation: Review SAP training materials or documentation related to APO and forecasting to better understand the underlying processes and best practices.

    If the problem persists after trying the above solutions, it may be beneficial to reach out to SAP support for further assistance.

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