How To Fix /SAPAPO/PFCS_MESS801 - Final Forecast Calculated Incorrectly


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SAPAPO/PFCS_MESS -

  • Message number: 801

  • Message text: Final Forecast Calculated Incorrectly

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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.



    What else can you do?

    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

    Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

    You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.


Smart SAP Assistant

  • What is the cause and solution for SAP error message /SAPAPO/PFCS_MESS801 - Final Forecast Calculated Incorrectly ?

    The SAP error message /SAPAPO/PFCS_MESS801 indicates that the final forecast has been calculated incorrectly in the SAP Advanced Planning and Optimization (APO) module. This error typically arises during the forecast calculation process, which is a critical step in demand planning.

    Causes:

    1. Data Issues: Inconsistent or incorrect historical data can lead to inaccurate forecast calculations. This includes missing data, outliers, or data that does not conform to expected patterns.
    2. Configuration Errors: Incorrect settings in the forecasting model or parameters can lead to unexpected results. This includes issues with the forecast profile, key figures, or planning versions.
    3. Algorithm Limitations: The forecasting algorithm being used may not be suitable for the data set, leading to poor forecast results.
    4. Time Series Issues: Problems with the time series data, such as gaps or irregular intervals, can affect the calculation.
    5. Master Data Issues: Incomplete or incorrect master data (like product master, location master) can also impact the forecast.

    Solutions:

    1. Data Validation: Check the historical data for completeness and accuracy. Look for any anomalies or missing values that could affect the forecast.
    2. Review Configuration: Ensure that the forecasting model and parameters are correctly configured. This includes checking the forecast profile and ensuring that the right key figures are being used.
    3. Change Forecasting Algorithm: If the current algorithm is not yielding satisfactory results, consider switching to a different forecasting method that may be more appropriate for the data.
    4. Time Series Analysis: Analyze the time series data for any irregularities. If there are gaps, consider filling them or using interpolation methods.
    5. Master Data Check: Verify that all relevant master data is complete and accurate. This includes checking product and location master data for any discrepancies.
    6. Re-run Forecast Calculation: After making the necessary adjustments, re-run the forecast calculation to see if the issue is resolved.

    Related Information:

    • SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide additional troubleshooting steps.
    • Documentation: Review the SAP APO documentation for best practices in demand planning and forecasting.
    • Community Forums: Engage with SAP community forums or user groups to see if others have encountered and resolved similar issues.
    • Support: If the issue persists, consider reaching out to SAP support for assistance, providing them with detailed information about the error and the steps taken to resolve it.

    By following these steps, you should be able to identify the root cause of the error and implement a solution to ensure accurate forecast calculations in SAP APO.

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