How To Fix /SAPAPO/PR422 - Trend test is positive

/SAPAPO/PR422 - Overview

• Message type: E = Error

• Message class: /SAPAPO/PR -

• Message number: 422

• Message text: Trend test is positive

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/PR422 - Trend test is positive ?

  The SAP error message /SAPAPO/PR422 Trend test is positive typically occurs in the context of SAP Advanced Planning and Optimization (APO), particularly when dealing with demand planning and forecasting. This message indicates that the trend test for a particular forecast model has returned a positive result, which means that the system has detected a significant upward or downward trend in the historical data.
  
  Cause:
  
  Data Characteristics: The historical data used for forecasting may exhibit a clear trend, which the forecasting model has identified.
  Model Configuration: The forecasting model may be configured to recognize trends, and the data fits this configuration.
  Statistical Significance: The statistical tests applied to the data have determined that the trend is statistically significant.
  
  
  Solution:
  
  Review Historical Data: Check the historical data for the product or material in question. Look for any anomalies or patterns that could explain the trend.
  Adjust Forecasting Model: If the trend is not expected, consider adjusting the forecasting model