How To Fix /SAPAPO/PR410 - Insufficient historical values available for model choice

/SAPAPO/PR410 - Overview

• Message type: E = Error

• Message class: /SAPAPO/PR -

• Message number: 410

• Message text: Insufficient historical values available for model choice

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/PR410 - Insufficient historical values available for model choice ?

  The SAP error message /SAPAPO/PR410 Insufficient historical values available for model choice typically occurs in the context of SAP Advanced Planning and Optimization (APO), particularly when working with demand planning or forecasting models. This error indicates that the system does not have enough historical data to perform the required calculations for the selected forecasting model.
  
  Cause:
  
  
  Insufficient Historical Data: The primary cause of this error is that there is not enough historical data available for the specific product or location to generate a forecast. This can happen if:
  
  The product is new and has not been sold previously.
  Historical data has been deleted or is missing.
  The time period selected for forecasting does not have enough data points.
  
  
  
  Model Configuration: The selected forecasting model may require a certain amount of historical data to function correctly. If the data does not meet the minimum requirements, this error will be triggered.
  
  
  Data Quality Issues: There may be issues with