Our client, part of a multibillion-dollar automotive company, is a leading India-based provider of durable consumer loans specializing in motor loans.
The management wanted to optimize the entire customer financing journey with the end goal of reducing vehicle repossession losses of USD 3 MM annually. The objective was to identify the customers (potential and existing customers) who will be prone to repossession and estimate the loss due to repossession.
Avoided USD 1.5 MM in repossession losses due to early detection of high-risk customers at the application stage
The model accurately identified 85 % of all repossession cases during validation
Developed a what-if scenario tool for loss estimation