How To Fix /SAPAPO/ESPP_PR440 - Automatic model selection has chosen the seasonal model

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/ESPP_PR -

• Message number: 440

• Message text: Automatic model selection has chosen the seasonal 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.

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/ESPP_PR440 - Automatic model selection has chosen the seasonal model ?

  The SAP error message /SAPAPO/ESPP_PR440 indicates that the automatic model selection process in SAP Advanced Planning and Optimization (APO) has determined that a seasonal model is the most appropriate for the data being analyzed. This message is not necessarily an error but rather an informational message indicating the model selection outcome.
  
  Cause:
  
  Data Characteristics: The data being analyzed likely exhibits seasonal patterns, which means that the demand or other metrics fluctuate in a predictable manner over specific time intervals (e.g., daily, weekly, monthly).
  Model Selection Criteria: The automatic model selection algorithm evaluates various statistical models based on the historical data and selects the one that best fits the observed patterns. If it identifies significant seasonal trends, it will opt for a seasonal model.
  
  
  Solution:
  
  Review Data: Check the historical data to confirm that it indeed has seasonal patterns. Look for trends that repeat over specific intervals.
  Model Configuration: If the seasonal model is appropriate, ensure that