Case Study: a US based global bank reduces delinquencies and collection costs with Scienaptic AI

A Scienaptic AI Case Study

Preview of the US Based Global Bank Case Study

AI powered treatment strategies for a US based global bank

A US-based global bank faced significant challenges with overexposure in its consumer loans portfolio. This included $200 million in 90-days-past-due accounts, excessively high collection costs, and a 3% customer attrition rate following collection activities. To address this, the bank partnered with Scienaptic AI and leveraged its AI platform.

The Scienaptic AI platform implemented a sophisticated collection analytics solution. It utilized a common data model and augmented data sources to create sharper features. Its AI engine performed multivariate analysis to score customers on their willingness to pay and preferred contact channels, while its NLP engine converted collector notes into actionable insights. This approach prioritized collection activities to optimize efforts. The results were a 23% reduction in 90-days-past-due accounts, a 15% decrease in collection costs, and a 50% reduction in customer attrition.


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