How to use MCO4 - Create OTB Planning

SAP Transaction Code - Details

• Transaction Code: MCO4

  Description: Create OTB Planning

  Release: S/4HANA and ECC 6

• • Program: CALLOTB

    Screen: 0

    Authorization Object:

  • Development Package: MCP2

    Package Description: R/3 application development: Sales & Operations Planning

    Parent Package: APPL

  • Module/Component: PP-SOP-SP

    Description: Sales Plan

Smart SAP Assistant

• SAP Tcode: MCO4 - Create OTB Planning

   File
  
  Overview:
  MCO4 is a transaction code used in SAP to create an Over The Counter (OTB) planning file. This file is used to plan the stock levels of products in a retail store. It helps to ensure that the store has enough stock to meet customer demand, while avoiding overstocking. 
  
  Functionality: 
  The MCO4 transaction code allows users to create an OTB planning file. This file contains information about the stock levels of products in a retail store. It includes details such as the product name, quantity, and price. The file also contains information about the store's sales history and current stock levels. This information is used to create a plan for how much stock should be ordered and when it should be ordered. 
  
  Step-by-step How to Use: 
  1. Log into SAP and enter the MCO4 transaction code. 
  2. Select the store for which you want to create an OTB planning file. 
  3. Enter the product details, including name, quantity, and price. 
  4. Enter the store's sales history and current stock levels. 
  5. Generate the OTB planning file by clicking “Create”. 
  6. Review the generated OTB planning file and make any necessary changes or adjustments. 
  7. Save the OTB planning file by clicking “Save”. 
  
  Other Recommendations: 
  It is important to regularly review and update the OTB planning file created with MCO4 in order to ensure that it accurately reflects the current stock levels of products in a retail store. Additionally, it is recommended that users take advantage of SAP's forecasting tools in order to more accurately predict customer demand and plan for future stock orders accordingly.