How to use CNV_MBT_CUS_SEARCH - Suche kdneig. Obj.: Expertenmodus

SAP Transaction Code - Details

• Transaction Code: CNV_MBT_CUS_SEARCH

  Description: Suche kdneig. Obj.: Expertenmodus

  Release: S/4HANA and ECC 6

• • Program: CNV_MBT_CUSTOMER_SEARCH

    Screen: 1000

    Authorization Object:

  • Development Package: CNV_MBT_MAIN

    Package Description: Main components of PCL for SLO Products

    Parent Package: DMIS_BASIS_PCL

  • Module/Component: CA-LT

    Description: Landscape Transformation

Smart SAP Assistant

• SAP Tcode: CNV_MBT_CUS_SEARCH - Suche kdneig. Obj.: Expertenmodus

  
  Overview:
  CNV_MBT_CUS_SEARCH is an SAP transaction code used to search for customers in the SAP system. It is part of the Customer Search Expert Modus, which is a tool that helps users quickly and easily find customers in the system. 
  
  Functionality: 
  The Customer Search Expert Modus allows users to search for customers by name, address, or other criteria. It also provides additional information about the customer, such as contact information and account details. The search results can be sorted and filtered to make it easier to find the desired customer. 
  
  Step-by-step How to Use: 
  To use CNV_MBT_CUS_SEARCH, follow these steps 
  1. Log into the SAP system and enter the transaction code CNV_MBT_CUS_SEARCH in the command field. 
  2. Enter the search criteria in the appropriate fields. 
  3. Click “Search” to execute the search. 
  4. The search results will be displayed in a list format. 
  5. Select a customer from the list to view additional information about them. 
  6. To sort or filter the search results, click on the “Sort/Filter” button at the top of the list. 
  7. To save a customer to your favorites list, click on the “Add to Favorites” button at the top of the list. 
  8. When you are finished, click “Exit” to close the window and return to the main SAP screen. 
  
  Other Recommendations: 
  It is recommended that users familiarize themselves with all of the features of CNV_MBT_CUS_SEARCH before using it for customer searches. Additionally, users should always double-check their search results before making any changes or decisions based on them.