The Nomis Platform provides end-to-end functionality to fully plan and execute optimized, customer-centric pricing, from back office analytics to personalized client engagement in any retail banking channel. A unified data structure, that brings together diverse data sets, delivers a 360-degree view of what customers value. Nomis’s powerful modeling and predictive analytics techniques empower banks to determine client-level pricing and context-driven engagement for both lending and deposits.

Nomis Price Optimizer
Nomis Price Optimizer

Portfolio and Segment-Level Pricing and Forecasting

  • Leverage client, market, and competitive data for a deeper understanding of portfolio dynamics
  • Optimize prices based on powerful predictive analytics and what-if scenarios to meet portfolio goals for volume and/or margin
  • Determine target rates simultaneously across multiple segments to respond quickly to changing market conditions
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Nomis Price Manager
Nomis Price Manager

Enterprise-Wide Client-Level Pricing and Bundles

  • Deliver branch, rep, or client-level pricing control using flexible pricing management to ensure that business rules are followed
  • Improve pricing agility with business-user-driven tools
  • Enable pricing and offers for multi-product bundles for greater win-win value exchange in customer engagements
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Nomis Deal Manager
Nomis Deal Manager

Client-Level Price and Offer Presentment

  • Empower front-line bankers and digital channels with the customer intelligence they need to present and finalize client-level pricing and offers, including exception handling, offer comparison, and guided sales
  • Capture data about declined offers and lost opportunities to further improve advanced analytics accuracy by informing back office models
  • Manage margin leakage in markets where there is pricing discretion by presenting bankers with data-driven SmartRanges that specify targets and floors
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Making it Real: How to Turn Science into Results

Knowing how to think about the pricing problem is critical. Solving the math challenge of optimizing prices and offers is crucial. But the biggest challenge is how to operationalize the pricing process in your bank so that you can rely on precise analytics, reliable execution, and fair & consistent sales force behavior, every day and for every transaction.

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