The Problem We Were Brought In To Solve
India MFI with PAR30 at 8.4% post-COVID. 420 agents spending 40% of time on low-propensity borrowers across 3 states.
How Revino Delivered
Daily borrower risk scoring using payment history, crop cycles, group meeting attendance, weather data. WhatsApp self-cure automation for low-risk accounts.
Measurable Business Impact
✓Collection efficiency: +34%
✓PAR30: 8.4%→6.1% (-28%)
✓Agent productive visits: +2.4×
✓WhatsApp self-cure: 18% of dues collected pre-visit
✓Write-offs reduced: ₹22 Cr in Year 1
PythonXGBoostWhatsApp Business APIAWSPostgreSQL
KEY METRICS
+34%
Collection efficiency
-28%
PAR30
2.4×
Agent productivity
₹22Cr
Write-off saved
Want results like this?
Free 45-minute consultation — real roadmap, no commitment.
Book Consultation → Contact UsMore Enterprise Results
BANKING & NBFC · India
AI Credit Scoring — India NBFC (₹2,400 Cr Portfolio)
Default -31% | Approval 14 days→4 hours | Thin-file market +38%
BANKING & NBFC · India
Digital Banking Platform — India PSB (4.2M Customers)
Digital transactions +340% | Mobile adoption 12%→67% | App 2.1→4.6★
BANKING & NBFC · Global
AI Fraud Detection — 3 Global Regional Banks
Fraud -43% | $8.2M recovered Year 1 | False declines -62%
Ready to create your own case study?
Free 45-minute consultation — we discuss your situation, identify the biggest opportunities, and deliver a prioritised roadmap.