How To Fix FEB_BS_ML024 - Posting/clearing not started; no Machine Learning proposals made

SAP Error Message - Details

• Message type: E = Error

• Message class: FEB_BS_ML -

• Message number: 024

• Message text: Posting/clearing not started; no Machine Learning proposals made

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 FEB_BS_ML024 - Posting/clearing not started; no Machine Learning proposals made ?

  The SAP error message FEB_BS_ML024 indicates that the posting or clearing process could not be initiated because no Machine Learning (ML) proposals were generated. This error typically occurs in the context of the SAP S/4HANA Finance module, particularly when using the Machine Learning capabilities for automating financial processes.
  Causes:
  
  Insufficient Data: The system may not have enough historical data or relevant transactions to generate ML proposals.
  Configuration Issues: The Machine Learning functionality may not be properly configured in the system.
  Model Training: The ML model may not have been trained or may not be active, leading to no proposals being generated.
  Data Quality: Poor data quality or missing data can prevent the ML algorithms from making accurate predictions.
  System Limitations: The system may have limitations or restrictions that prevent the generation of proposals.
  
  Solutions:
  
  Check Data Availability: Ensure that there is sufficient historical data available for the ML algorithms to analyze. This may involve reviewing transaction history and ensuring that relevant data is present.
  Review Configuration: Verify that the Machine Learning functionality is correctly configured in your SAP system. This includes checking settings related to the ML model and ensuring that it is activated.
  Train the Model: If the ML model has not been trained, initiate the training process. This may involve running specific transactions or jobs in SAP to train the model with available data.
  Data Quality Assessment: Conduct a data quality assessment to identify and rectify any issues with the data that may be affecting the ML proposals.
  Consult Documentation: Refer to SAP documentation or notes related to the specific version of your SAP system for any known issues or additional configuration steps that may be required.
  System Logs: Check system logs for any additional error messages or warnings that may provide more context about why the proposals were not generated.
  
  Related Information:
  
  SAP Notes: Look for relevant SAP Notes that may address this specific error or provide guidance on troubleshooting.
  SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they have found.
  SAP Help Portal: Utilize the SAP Help Portal for detailed documentation on Machine Learning in SAP S/4HANA and best practices for configuration and usage.
  
  If the issue persists after trying the above solutions, it may be beneficial to reach out to SAP support for further assistance.