How to use S_PLN_16000292 - Revenue Forecast

SAP Transaction Code - Details

• Transaction Code: S_PLN_16000292

  Description: Revenue Forecast

  Release: S/4HANA and ECC 6

  Menu Path:

  • Accounting > Financial Supply Chain Management > Treasury and Risk Management > Transaction Manager > Information System > Reports > Revenues > Revenue Forecast
  • Information Systems > Accounting > Treasury > Revenues > Revenue Forecast
  • Information Systems > General Report Selection > Treasury > Revenues > Revenue Forecast

• • Program:

    Screen: 0

    Authorization Object:

  • Development Package: FTI_LDB

    Package Description: Logical Databases for the R/3 CFM Information System

    Parent Package: FS_TRM

  • Module/Component: FIN-FSCM-TRM-TM-IS

    Description: Information System

Smart SAP Assistant

• SAP Tcode: S_PLN_16000292 - Revenue Forecast

  
  Overview: 
  S_PLN_16000292 is a SAP transaction code used to generate a revenue forecast. It is used to analyze the expected revenue of a company based on the current sales data. This transaction code is part of the SAP Business Planning and Consolidation (BPC) module. 
  
  Functionality: 
  The S_PLN_16000292 transaction code allows users to generate a revenue forecast based on the current sales data. It provides an overview of the expected revenue for a given period of time. The forecast can be used to make decisions about future investments and strategies. 
  
  Step-by-step How to Use: 
  1. Log into your SAP system and enter the S_PLN_16000292 transaction code in the command field. 
  2. Select the “Revenue Forecast” option from the menu. 
  3. Enter the desired period of time for which you want to generate the forecast. 
  4. Select the “Generate” button to generate the forecast. 
  5. The generated forecast will be displayed on the screen. 
  
  Other Recommendations: 
  It is recommended that users review the generated forecast before making any decisions based on it. Additionally, users should also consider other factors such as market trends and customer demand when making decisions based on the generated forecast.