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  1. SAP Glossary
  2. Demand Data Foundation for Retail
  3. generic product


What is generic product in SAP CA-DDF-RT - Demand Data Foundation for Retail?


SAP Term: generic product

  • Component: CA-DDF-RT

  • Component Name: Demand Data Foundation for Retail

  • Description: A special type of configurable product for structuring the variants of a product such as a fashion item. A generic product can have both variant-creating attributes and non-variant-creating attributes. If a number of products differ only in certain attributes - such as in color, size, or style - the individual products are referred to as variants and grouped together as a "generic product". The definition of a generic product makes it easier to maintain variants. Data common to all variants can be entered for the generic product and does not have to be entered more than once.


Smart SAP Assistant

  • Key Concepts: 
    Generic product is a component of the Demand Data Foundation for Retail (CA-DDF-RT) in SAP. It is a data model that stores information about products and services that are sold in retail stores. This data model is used to provide insights into customer demand and inventory management. 
    
    How to use it: 
    The generic product component of the Demand Data Foundation for Retail can be used to store information about products and services that are sold in retail stores. This data model can be used to track customer demand, inventory levels, and pricing. Additionally, it can be used to analyze customer buying patterns and trends. 
    
    Tips & Tricks: 
    When using the generic product component of the Demand Data Foundation for Retail, it is important to ensure that all data is accurate and up-to-date. Additionally, it is important to regularly review the data model to ensure that it is still relevant and useful. 
    
    Related Information: 
    The Demand Data Foundation for Retail (CA-DDF-RT) is a comprehensive suite of tools designed to help retailers manage their operations more effectively. It includes components such as customer segmentation, pricing optimization, and inventory management. Additionally, it provides insights into customer behavior and trends.
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