How Machine Learning Can Make Auto Lenders More Money

Zest AI Resources

Lower interest rates, fuzzy consumer data, more stimulus money - the new normal in auto lending present new challenges, including how to grow portfolios safely. To adapt, leaders are switching to machine learning-based underwriting.

Machine learning (ML) is proven to outperform traditional scoring methods by using more data and better math to predict borrower outcomes more accurately. ML allows lenders to boost approvals with no added risk and respond more quickly to market volatility.

The increased predictive power of ML provides a competitive advantage to help lenders grow portfolios safely.

Get the eBook for the three biggest ways switching to ML underwriting can make auto lenders more money.