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"Optimizing Retailer Profitability"

How Revionics Price Optimization Software Works

Revionics follows a proprietary methodology to making price recommendations for everyday, promotion, and markdown pricing.  Our second generation pricing technology blends advanced retail pricing science with practical business rules, achieving a perfect blend of art and science.


The analysis engine is always listening to your consumer, interpreting their behavior based on their purchases by price point.   The process followed can be summarized by the 5 points below.  First, ongoing data input (1) from the retailer, along with the retail pricing strategy and business rule configuration (2) are provided to the analysis engine (3).  The analysis engine then applies Revionics advanced retail pricing science to determine prices based on your business goals and strategy.  The interface (4), or internet-based portal is available at any stage of the process, but is specifically relevant for pricing review and scenario planning.  Finally, once prices are accepted by the retailer, they are exported (5) in a seamless fashion to existing back-office or headquarter systems.



• Product Catalog
• Sales History
• Sales & Movement
• Current / New Costs
• Current / New Deals
• Company / Store
• Competitor Data
• Weather
• Inventory
• Assortment
• Space


• Goals / Objectives
• Price Strategy
• Pricing Rules
• Constraints


• Demand Analysis
• Elasticity Analysis
• Brand Analysis
• Margin Analysis
• Volume Analysis
• Competitor Analysis
• Good-Better-Best
• Relational Pricing
• Ending Numbers
• Market Basket
• Markdown Analysis
• Promotion Analysis


• RAPS Everyday
• RAPS Shopper
• RAPS Promotion
• RAPS Markdown
• RAPS Forecast
• RAPS Insight




• HQ Systems
• Back Office Systems
• POS Systems
• Tag / Sign Systems
• Other Systems

  • Revionics Integrated Forecast evaluates all items, at each store, automatically.  Most retailers select weekly processing to determine pricing opportunities.  Our approach is to use a single forecast across all software modules to provide a more accurate, consistent version of consumer demand.
  • The process is consistent across retail industries, including products such as perishable or fresh items, building materials, apparel, and more.