On Time or Late Payments In Loans

Predicting whether loan payments will be on time or late involves using AI² algorithms to analyze various factors associated with borrowers and their loans.

Late-Payments in Accepted Loans

The Problem
The Solution
The Impact
Challenged to decrease Late Payments

• Number of customers: 51,816

• Current Payments: 50.18% (26,000 customers with current payments)

• Late Payments: 49.82% (25,816 customers with late payments)

Decrease Late Payments with AI2:

• Target AI2: 0.9

• Target Late Payments: 39.86%

Initial Decrease from current levels:

• 20% or 5,163 extra reductions in customers with Late payments.

• AI2 Accuracy: 100%