BFSI

Increased customer lifetime value, reduced competitive threats with optimized credit lines increase

Key Challenges
The client is a top national bank in Asia with over 100MM credit card customers. The client was facing high competition with some banks offering Credit Line Increase (CLI) as a solid lever to increase customer stickiness, loyalty and revenue generated. The client lacked a systematic and quantitative framework to do CLI to balance risk and revenue.
Our Products in Action
ElectrifAi implemented a machine learning-based risk assessment for CLI on both permanent and temporary credit line increases. Leveraging quantitative method with a sensitivity model, a CMV (Card Member Value) based optimization product was implemented to determine the optimal credit line for each customer. A detailed strategy and execution framework was designed to facilitate CLI implementation for customer's business.
Business Impact
10%
increase in profit from servicing current customers
Faster credit line increase decision times with Machine Learning
Improve customer loyalty without higher risk of default
10%
increase in profit from servicing current customers
Faster credit line increase decision times with Machine Learning
Improve customer loyalty without higher risk of default