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