Statute - Barred Collection: A Machine Learning Approach for Enhanced Debt Recovery Compliance

Shilpy Agrawal

Abstract: The rising complexity of financial transactions and the increasing volume of debt in modern economies pose considerable challenges to debt collection processes. One critical aspect of debt recovery is navigating the intricate legal landscape surrounding statute-barred debt, where debts become unenforceable after a specified limitation period. This journal delves into the intersection of debt collection and machine learning, presenting a novel approach to streamline the identification and management of statute-barred collections.

Keywords: Statute-Barred Debt, Machine Learning, Prediction, Debt Collection, Legal Compliances