How To Fix /SCA/SDPR_INTERNAL107 - Promised Quantity Accuracy "accurate": &1 in [&2 , &3]


/SCA/SDPR_INTERNAL107 - Overview

  • Message type: E = Error

  • Message class: /SCA/SDPR_INTERNAL -

  • Message number: 107

  • Message text: Promised Quantity Accuracy "accurate": &1 in [&2 , &3]

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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 /SCA/SDPR_INTERNAL107 - Promised Quantity Accuracy "accurate": &1 in [&2 , &3] ?
    The SAP error message /SCA/SDPR_INTERNAL107 related to "Promised Quantity Accuracy" typically indicates an issue with the accuracy of the promised quantity in the context of supply chain planning or order fulfillment. This error can arise in various scenarios, such as during the planning process, when checking the availability of materials, or when processing sales orders.
    
    Cause: The error message usually points to a discrepancy in the promised quantity that does not meet the expected accuracy criteria. The parameters &1, &2, and &3 in the message represent specific values related to the promised quantity, such as: &1: The actual promised quantity. &2: The expected quantity. &3: The threshold or acceptable range for accuracy. This discrepancy can be caused by several factors, including: Data Inconsistencies: Mismatches in master data, such as material master records, sales order data, or inventory levels.
    Configuration Issues: Incorrect settings in the system related to planning or order management. Supply Chain Disruptions: Changes in supply availability, production

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