How To Fix /SAPAPO/SOR095 - Determination of surplus qty acc. to exponential smoothing forecast model

/SAPAPO/SOR095 - Overview

• Message type: E = Error

• Message class: /SAPAPO/SOR -

• Message number: 095

• Message text: Determination of surplus qty acc. to exponential smoothing forecast model

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 /SAPAPO/SOR095 - Determination of surplus qty acc. to exponential smoothing forecast model ?

  The SAP error message /SAPAPO/SOR095 typically relates to issues in the context of the Supply Chain Management (SCM) module, specifically within the Advanced Planning and Optimization (APO) component. This error message indicates a problem with the determination of surplus quantity according to the exponential smoothing forecast model.
  
  Cause:
  The error can occur due to several reasons, including:
  
  Data Issues: Missing or incorrect historical data that the exponential smoothing model relies on for forecasting.
  Configuration Problems: Incorrect settings in the forecasting model or parameters that do not align with the data being processed.
  Model Parameters: The parameters set for the exponential smoothing model may not be appropriate for the data set, leading to calculation issues.
  Time Series Issues: The time series data may not be structured correctly, or there may be gaps in the data that affect the forecast calculation.
  
  
  Solution:
  To resolve the /SAPAPO/SOR095 error, you can take the following steps:
  
  
  Check Historical Data: Ensure that the historical data