Regional Online Bank leverages machine learning using Python to personalize its rewards program service

CATEGORY

Project Highlights

A regional online bank applied Python based machine learning to account holders in its Reward Program, helping to identify accounts “gaming” the system, predict activity and high-probability loan defaults, and keep customers informed of their Rewards eligibility.

Benefits

  • Improved customer experiences by enabling transparency, on-demand access to the Rewards Program, and real-time notification of rewards
  • Reduced rate of defaulting using proactive communication approach with customers identified as highly likely to default
  • Increased the bank’s competitiveness in the market of FinTechs.

Priya Nair

Director – Insurance Technology Strategy
OwlSure

Stay Ahead with OwlSure Insights

Get the latest trends, case studies, and expert tips delivered straight to your inbox—helping you innovate, optimize, and grow.

Share on

RESOURCES

Discover More on This Topic