Oracle Retail Regular Price Optimization

Align Everyday Pricing with Overall Strategies

Maximize revenue and margin through an insight-driven understanding of the most optimal everyday pricing.

Data Sheet (PDF)

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Overview

Align everyday price activity to overall category strategies to support item-level price recommendations that maximize revenue, margin, or competitive strategy
Perform analysis using highly evolved “what-if” capabilities and see both overall and item-level impact on demand and key financial metrics
Price at channel, zone, chain, region, and store level and 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 constraints needed to support a retailer’s strategies
Leverage a common demand forecast to drive all category planning, tactical pricing, and supply chain activities.

Benefits

Increase gross margin dollars by 3-5%
Increase sales
Drive localized, more profitable, and easier everyday pricing decisions
Respond intelligently to competitor pricing strategies
Ensure pricing recommendations adhere to core business rules
Make pricing decisions in context of enterprise planning objectives
Get forecasts integrated with overall enterprise demand forecast
Based on scientifically proven retain predictive analytical server and planning platfrom
Tie pricing results directly to execution and POS

More About Oracle Retail Merchandise Planning and Optimization

Determine what products should be on the shelves, how much should be bought, how to price, what to promote, and what and when to mark down—so you can maximize sales while minimizing costs and constraints.

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