The client is a large financial services company offering unsecured credit such as auto loans worth $4.5B across 300K auto loans. All business processes—from loan origination to underwriting—were handled manually, resulting in risk to business growth. The client needed to speed up underwriting and take credit decisions accurately and efficiently. The client also wanted to leverage data to monitor potential loan delinquency behavior and mitigate proactively.

ElectrifAi’s ML-based underwriting scorecard and credit decision product improved loan processing accuracy and efficiency. An advanced customer behavior scorecard model and strategies were implemented to monitor to maximize the collected principal once customers default. The customer collection scorecard model was implemented using multiple data sources to generate collection risk alerts and plan stratified collection actions daily.