Improve Category Market Share, Margin & Volume Objectives

At every moment, retailers must be able to price based on brand, consumer demand, and competitive positioning all within the context of regulatory compliance and business strategy.

Take advantage of

  • Machine learning
  • Algorithms
  • Predictive modeling techniques
  • Competitive data
  • Advanced analytics

in use at retailers across the globe to price yourself into the heart of your customer, stay ahead of your competition and deliver on business goals.

Retailing Made Profitable. Customer Share That’s Protected.


Align price with business strategy, consumer demand, competitive data, and market insights


Deliver on margin, volume, and customer retention opportunities through optimized pricing


Project “what if’ price impact and proactively price change due to increased visibility


Ensure all regulatory and manufacturer contract compliance is maintained


  • Ideal Balance in Margin & Volume

    Advancing modeling and dynamic pricing guidance balances
    customer “Willingness-to-Pay”, market and pricing strategy objectives

  • Visibility into the Complete Picture

    Leverage machine learning and advanced analytics for real-time assessment of pricing strategies

  • Competitive Insights

    Scientifically determine which competitors affect demand by region, category, and product

  • Optimization through Price Science

    Analyze customer response to pricing and use price science to determine best pricing strategies

  • Predictive Insights

    “What if” modeling that incorporates machine learning on customer response for various price change options

  • Market Basket Impact

    Understand the impact on store traffic and other categories when making individual product pricing decisions

Learn more about Retail

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