How to use OVSM - C RV Tab. VAV Comportamiento

SAP Transaction Code - Details

• Transaction Code: OVSM

  Description: C RV Tab. VAV Comportamiento

  Release: S/4HANA and ECC 6

• • Program: SAPL080S

    Screen: 80

    Authorization Object:

  • Development Package: VZ0C

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: OVSM - C RV Tab. VAV Comportamiento

  
  Overview:
  The SAP transaction code OVSM - C SD Table TVAV Buying Habits is used to view the buying habits of customers in the Sales and Distribution (SD) module. It provides a detailed overview of customer buying behavior, including the types of products purchased, the frequency of purchases, and the average amount spent per purchase. 
  
  Functionality:
  This transaction code allows users to view customer buying habits in the Sales and Distribution (SD) module. It provides a detailed overview of customer buying behavior, including the types of products purchased, the frequency of purchases, and the average amount spent per purchase. This information can be used to identify trends in customer buying behavior and to make informed decisions about product offerings and pricing. 
  
  Step-by-Step How to Use
  1. Enter transaction code OVSM - C SD Table TVAV Buying Habits into the SAP command field. 
  2. Select the desired customer from the list of available customers. 
  3. Select the desired product from the list of available products. 
  4. Select the desired time period from the list of available time periods. 
  5. The system will display a detailed overview of customer buying behavior for the selected product and time period. 
  
  Other Recommendations:
  It is recommended that users take advantage of this transaction code to gain insight into customer buying behavior and make informed decisions about product offerings and pricing. Additionally, users should be aware that this transaction code only displays information for customers in the Sales and Distribution (SD) module, so it may not provide a complete picture of customer buying habits across all modules.