Oracle Retail Regular Price Optimization (RPO)
(Doc ID 1542086.1)
Last updated on OCTOBER 20, 2019
Applies to:Oracle Retail Regular Price Optimization - Version 13.0 and later
Information in this document applies to any platform.
Checked for relevance Nov-2014
Oracle Retail Regular Price Optimization enables retailers to maximize revenue and margin through an insight-driven understanding of the most optimal everyday pricing. The everyday price recommendations are based on predictive demand forecasts and optimization routines considering cross-category and market basket effects. Oracle Retail offers this capability as part of an end-to-end retailing approach that aligns Oracle Retail Regular Price Optimization to overall category planning and extends through downstream supply chain activities to in-store execution.
Oracle Retail Regular Price Optimization is part of Oracle Retail merchandising planning & optimization suite which is a complete end-to-end portfolio that encompasses assortment, lifecycle pricing and space all utilizing the same common science platform to drive all supply chain forecasting. While all the application draw their strength from the interdependencies on all forecasts, they remain modular and allow customers to start anywhere and grow as necessary.
With Oracle Retail Regular Price Optimization, retailers can begin realizing a return on investment in three months then grow the footprint as the organization adapts. A crawl-walk-run implementation approach allowing pricing rules and optimization to be rolled out in a progressive manner across the business. Additionally, the business benefits by building understanding and trust of the application (ultimately complete adaption) while spreading the investment across each progressive stage.
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