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Adjusted Risk-Based Pricing
Our client is a Tier 2 Bank in Turkey who serve retail and commercial customers and has a global presence in the world.
Problem
Treat all customers identically is expensive and impossible
Need to understand the price elasticity of customer to maximize profitability within operational, regulatory and financial constraints
Need to be able to respond changing economic and competitive market rapidly
Action
Developed customer segmentation models based on machine learning with customer value models
Determined performance metrics and established a formal validation infrastructure for monitoring
Designed decision support engines specific to pricing analytics
Developed customer-level early warning system based on behavioral model outputs
Created pricing module to generate strategies and monitoring results
20
%
Increased profit
6
%
Reduced default rate
10
%
Reduced decline rate