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Component: CA-DDF-RT
Component Name: Demand Data Foundation for Retail
Description: The process of predicting the demand for a particular product, in a particular location, for a given scenario for example, promotion, sales channel, for a specific time period in the future, and then adjusting the value based on historical availability. Demand forecasting uses the parameter values that demand modeling has determined to explain the historical demand. The generated forecast is adjusted based on availability that is calculated from historical data.
Key Concepts: Demand forecasting is a process used to predict future customer demand for a product or service. It is an important part of supply chain management and helps businesses plan for future demand. The SAP component CA-DDF-RT Demand Data Foundation for Retail is a tool that helps retailers forecast demand for their products. It uses advanced analytics to analyze historical sales data and other factors to accurately predict future demand. How to use it: The CA-DDF-RT Demand Data Foundation for Retail can be used to create accurate forecasts of customer demand. It uses advanced analytics to analyze historical sales data and other factors such as seasonality, promotions, and pricing. The tool also allows users to customize their forecasts by adjusting parameters such as the forecast horizon, forecast accuracy, and forecast granularity. Tips & Tricks: When using the CA-DDF-RT Demand Data Foundation for Retail, it is important to ensure that the data used for forecasting is up-to-date and accurate. Additionally, it is important to regularly review the forecasts generated by the tool to ensure that they are still accurate and relevant. Related Information: The CA-DDF-RT Demand Data Foundation for Retail is part of the SAP Advanced Planning & Optimization (APO) suite of tools. Other components of the APO suite include Supply Network Planning (SNP), Production Planning & Detailed Scheduling (PP/DS), and Global Available-to-Promise (GATP).