Oracle Retail Demand Forecasting (RDF) Product Overview (Doc ID 1545269.1)

Last updated on DECEMBER 04, 2019

Applies to:

Purpose

 Oracle Retail Demand Forecasting is designed to handle the challenges of real-world retail forecasting incorporating the variety of customer interactions that impact sales, such as web site launches, new store openings, new product introductions, price and assortment changes, promotions and discontinuation of products. The solution scales to manage large volumes of data, handles forecasting at the lowest level of detail (by item, by store and direct channel site, by day), for products with high volumes or sparse sales, all with very little human intervention.

Oracle Retail Demand Forecasting streamlines forecasting processes and provides actionable insights by highlighting potential problem situations that require intervention or opportunities that can be pursued proactively. Customer priorities that are reflected in one enterprise forecast drive planning and optimize operations via integration with financial merchandise planning, pricing, promotions, purchasing, allocation and replenishment.

Oracle Retail Demand Forecasting allows retailers to maintain a single projection of forecasted demand across all channels efficiently and accurately. The results they achieve include increased revenue and profitability while reducing inventory:

• Translate detailed and summarized data efficiently into forward-looking actionable insights to guide more profitable decisions.
• Automate data management and cleansing of historical anomalies, with manual updates by exception.
• Maximize forecast accuracy by applying the appropriate forecasting method to observed or predicted selling patterns.
• Adjust forecast to correct for out of stock, seasonality, recent trends and other causal factors

Details

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