Elevating Recovery Rate (RR) and Reducing Loan Default using AI-Driven Predictive Analytics For A Leading Financial Lender

Solution

• Utilized machine learning algorithms such as Random Forest and Neural Network to develop a predictive analytical model.
• Gathered historical data encompassing customer details, past collection information, and current demand status.
• Leveraged the predictive model to forecast the repayment behavior of customers for the next month.
• Determined the likelihood of customers making payments or defaulting based on the analysis of the collected data.
• Enabled the NBFC to make informed decisions and optimize their collection efforts by focusing on customers likely to make payments.
• Improved cash flow management and reduced financial risks by identifying customers who may potentially default on their EMIs.

Outcome