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Oracle Retail Regular Price Optimization

Streamline Pricing Decisions

Maximize revenues and margins through an insight-driven understanding of the most optimal everyday pricing. Everyday price recommendations are based on predictive demand forecasts and optimization routines, and consider cross-category and market basket effects.

Retail Regular Price Optimization

Use what-if simulation to model alternate prices while understanding the impact of these prices on sales revenue, volume, margin, and competitive positioning.

Oracle Retail Regular Price Optimization

Align Everyday Pricing with Overall Strategies

  • Perform pricing analyses using highly evolved what-if capabilities and see both overall and item-level impact on demand and key financial metrics
  • Price at the channel, zone, chain, region, and store level to make decisions based on a granular understanding of demand at any level of the hierarchy
  • Understand item and cross-item price elasticity to gain insight into the halo and cannibalization effects of one item's price changes on all other items in the category
  • Account for business constraints to maximize financial results within the set of conditions needed to support a retailer's strategies
  • Leverage a common demand forecast to drive all category planning, tactical pricing, and supply chain activities

Related Solutions

  • Oracle Retail Macro Space Optimization

    Dynamic recommendations enable you to allocate optimal space to departments, categories, and sub-categories or planograms while maximizing overall sales and profits.

  • Oracle Retail Merchandise Financial Planning

    Identify opportunities for more profitable inventory investments while ensuring day-to-day decisions align with business objectives. Best-practice retail processes guide detailed financial planning with the flexible choice of deployment via the cloud or on premises.

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