How To Fix PR416 - Number of ex-post forecasts reduced

PR416 - Overview

• Message type: E = Error

• Message class: PR - Forecast: Help messages

• Message number: 416

• Message text: Number of ex-post forecasts reduced

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 PR416 - Number of ex-post forecasts reduced ?

  The SAP error message PR416, which states "Number of ex-post forecasts reduced," typically occurs in the context of demand planning and forecasting within the SAP system, particularly in the SAP Advanced Planning and Optimization (APO) module or SAP Integrated Business Planning (IBP).
  
  Cause:
  This error message indicates that the system has reduced the number of ex-post forecasts that can be generated for a particular product or location. The reduction can occur due to several reasons, including:
  
  Insufficient Historical Data: There may not be enough historical data available for the system to generate reliable forecasts.
  Data Quality Issues: Poor quality or inconsistent historical data can lead to the system being unable to create accurate forecasts.
  Configuration Settings: The settings in the forecasting model may limit the number of forecasts that can be generated.
  Forecasting Model Limitations: The chosen forecasting model may not be suitable for the data available, leading to a reduction in the number of forecasts.
  Time