Know who is likely to miss EMI before it happens
AI risk prediction converts raw repayment and device activity into an actionable default probability score. Instead of waiting for the EMI due date to fail, retailers can begin recovery planning while there is still time to influence the outcome.
- Payment history: frequency of delays, missed installments, and repayment consistency.
- Device behavior: reduced activity, repeated offline periods, or unusual usage changes.
- Movement patterns: location shifts or sudden travel behavior that suggests higher recovery complexity.
Output retailers understand instantly
Every account gets a clear high, medium, or low risk label along with the strongest contributing signals so recovery teams know why the score moved.
Why it matters
- Act early: call before a missed EMI turns into a lock event.
- Prioritize correctly: focus team time on accounts most likely to slip.
- Reduce surprise defaults: retailers get a forward-looking recovery view.
High Risk
Immediate call task, stronger reminders, tighter monitoring, faster escalation path.
Medium Risk
Reminder schedule plus follow-up checks before due date and shortly after.
Low Risk
Standard reminders and longer grace windows for customers with reliable behavior.
Example risk board
A predictive panel can show which accounts are becoming dangerous and which signals are pushing the score upward.
Portfolio ladder
Signals behind the score
Make EMI Locker feel smarter from day one
Risk scoring gives retailers a predictive recovery layer, not just a control panel.