As one of the largest Non-Banking Financial Companies (NBFCs) in India, the client manages an extensive loan book spanning various verticals for retail borrowers. This complex operation involves a substantial internal team and outsourced field collection agents. However, a critical challenge arises in tracking and evaluating the performance of both teams on a unified platform, thereby hampering the efficiency of debt collection efforts. The absence of an early warning system, soaring bounce rates, escalating Non-Performing Loans (NPL), and exorbitant collection costs further compound the issue.
Network Science (NS) proposed a comprehensive solution involving the implementation of a fully automated operational process. This approach aimed to offer the client an integrated platform with the capability to extract actionable insights through advanced analytics, effectively addressing the aforementioned challenges.
AI/ML-Powered Debt Collection Platform
We introduced an innovative AI/ML-enabled Debt Collection Platform, seamlessly integrated with a diverse range of data sources. This included demographic data, payment history, credit bureau information, as well as macro and microeconomic data. Moreover, the platform incorporated real-time customer responses and digital interaction data.
By automating operational processes, harnessing advanced analytics for insights, and providing personalized customer experiences, Network Science’s solution not only bolstered operational efficiency but also resulted in tangible financial gains.