Case Study: Leading Energy and Utilities Company increases debt collections by 50% in 3 months with WNS Predictive Analytics

A Leading Utility Increases its Debt Collection by 50 Percent with Predictive Analytics

Leading Energy And Utilities Company was struggling to rebalance its energy final debt portfolio, with a debt recovery rate of just 4% versus 14% for competitors and high agency commissions that were hurting margins. It needed a more effective way to optimize final debt collections, tailor strategies by customer segment, and reduce operating costs, and turned to WNS for help using predictive analytics.

WNS implemented a propensity-to-pay predictive data model for residential customers, segmenting accounts into high, medium, and low risk groups and applying focused collection strategies, customized call scripts, and performance monitoring. As a result, WNS helped Leading Energy And Utilities Company increase debt collection by 50% in 3 months, improve conversion rates by 8%, and cut operational expenses by 20%.