Your browser does not support JavaScript! Please enable the settings.

Real-Time Credit Decisions & Risk-Based Pricing

Platforms

Web, Mobile App

case-study-4

Instant Loan Approvals that Boost Margins & Customer Acquisition

Challenge

Loan approvals at the bank were slow. Applications often took days to process, requiring manual underwriting. In a competitive market, customers weren’t willing to wait – they would simply apply elsewhere and take whichever bank said “yes” first.

Adding to this, all approved customers received the same interest rate, regardless of risk. This meant the bank missed out on pricing efficiency and left margins on the table.

Solution

The bank needed an automated credit scoring and decisioning system. It had to integrate bureau data, customer history, and transaction behavior to make instant decisions. Beyond approval, the system also needed to recommend fair interest rates based on customer risk profiles.

How Innovify Helped

  • Built scoring models using XGBoost and Gradient Boosting.
  • Integrated with loan origination via REST APIs.
  • Deployed on AWS SageMaker and Lambda for speed and elasticity.
  • Set up monitoring dashboards to track performance and retrain models.

Technology used

gradiantboosting xgboost_logo-svg orange_lambda-svg amazonsagemaker

Results

cite icon
  • Loan approval time cut from 3 days → under 10 minutes.
  • 95% of loans auto-approved, manual review only for exceptions.
  • Profitability of loan portfolio increased by 15%.
  • Customer acquisition rose by 22% due to instant decisions.


Related Case Study

Let's discuss your project today