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Machine Learning Solutions Chairperson of the Year 2024 (Southeast USA): Srinivas Kilambi, Sriya.AI - by Kaven Oscar Cooper, CEO Monthly.                           YAHOO Finance Profiles Sriya.AI and its revolutionary Large Numerical Model (LNM) Technology

LOANS

Your ROI With Our AI

LOANS

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.

The Problem:

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)

The Solution:

Decrease Late Payments with AI:
  • Target AI: 0.9
  • Target Late Payments: 39.86%

The Impact:

Initial Decrease from current levels:
  • 20% or 5,163 extra reductions in customers with Late payments.
  • AI Accuracy: 100%

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