How to use FMLCONS - Consistency Analysis for ML

SAP Transaction Code - Details

• Transaction Code: FMLCONS

  Description: Consistency Analysis for ML

  Release: S/4HANA only

• • Program: FML_VALIDATE_EXTRACT

    Screen: 1000

    Authorization Object:

  • Development Package: FINS_ML_DB

    Package Description: Material Ledger - Database Layer

    Parent Package: FINS_ML

  • Module/Component: CO-PC-ACT

    Description: Actual Costing/Material Ledger

Smart SAP Assistant

• SAP Tcode: FMLCONS - Consistency Analysis for ML

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  Overview: 
  FMLCONS is a SAP transaction code used to perform a consistency analysis for the Multi-Level Forecasting (MLF) module. This transaction code is used to check the consistency of the MLF data and to identify any errors or inconsistencies in the data. 
  
  Functionality: 
  The FMLCONS transaction code is used to check the consistency of the MLF data and to identify any errors or inconsistencies in the data. It can also be used to check for any inconsistencies between the MLF data and other related data, such as sales orders, delivery documents, and stock levels. The FMLCONS transaction code can also be used to check for any discrepancies between the MLF data and other related data, such as sales orders, delivery documents, and stock levels. 
  
  Step-by-step How to Use: 
  1. Enter the FMLCONS transaction code in the SAP system. 
  2. Select the relevant MLF data that you want to analyze. 
  3. Select the relevant parameters for your analysis. 
  4. Execute the analysis by clicking on “Execute” button. 
  5. Review the results of your analysis and identify any errors or inconsistencies in the data. 
  6. Make necessary corrections to ensure that all MLF data is consistent and accurate. 
  7. Save your changes by clicking on “Save” button. 
  
  Other Recommendations: 
  It is recommended that you regularly use the FMLCONS transaction code to ensure that all MLF data is consistent and accurate. Additionally, it is important to review any errors or inconsistencies identified by this transaction code and make necessary corrections as soon as possible in order to avoid any potential issues with your MLF data in the future.