What is in-season planning in SAP CA-RT-AP - SAP Assortment Planning?

SAP Term: in-season planning

• Component: CA-RT-AP

• Component Name: SAP Assortment Planning

• Description: The adjustment of the pre-season sales plan for a particular product based on its actual sales behavior during the season. During in-season planning, the actual sales data is analysed per location and compared to the original plan. Depending on the findings, corrective measures can be initiated for example, markdowns or additional purchases.

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• Key Concepts: 
  In-season planning is a process used in SAP Assortment Planning (CA-RT-AP) to manage the assortment of products available for sale during a given season. It involves analyzing sales data and customer feedback to determine which products should be stocked, how much inventory should be kept on hand, and when to adjust prices. This helps retailers optimize their assortment and maximize profits. 
  
  How to use it: 
  In-season planning in SAP Assortment Planning (CA-RT-AP) is used to manage the assortment of products available for sale during a given season. It involves analyzing sales data and customer feedback to determine which products should be stocked, how much inventory should be kept on hand, and when to adjust prices. This helps retailers optimize their assortment and maximize profits. 
  
  Tips & Tricks: 
  When using in-season planning in SAP Assortment Planning (CA-RT-AP), it is important to keep an eye on customer feedback and sales data in order to make informed decisions about which products should be stocked, how much inventory should be kept on hand, and when to adjust prices. Additionally, it is important to consider the seasonality of certain products when making decisions about stocking levels and pricing. 
  
  Related Information: 
  In-season planning is closely related to pre-season planning, which is used to plan the assortment of products for the upcoming season. Additionally, in-season planning is often used in conjunction with other processes such as demand forecasting and inventory management.