Underwriting-as-a-Service
Underwriting-as-a-Service API for Indian NBFCs to assess ecommerce sellers that CIBIL cannot score.
The Problem
CIBIL was built for salaried individuals and traditional businesses. Ecommerce sellers operate in a fundamentally different financial reality.
Our Solution
SellerScore is the underwriting engine that sits between NBFCs and ecommerce sellers — we score, they lend.
NBFCs pay ₹200–500 per API call. No upfront integration cost. Volume-based pricing scales with their lending book.
Every decision includes 3 human-readable reason codes. No black box — full RBI algorithmic lending guidelines compliance.
NBFCs lend from their own balance sheet. SellerScore carries zero credit risk — pure SaaS revenue model.
How It Works
Two independent risk engines — combined for a single, explainable credit decision.
| Flag | XGBoost PD | MC Survival | Action |
|---|---|---|---|
| GREEN | <10% | >95% | Auto-approve eligible |
| WATCH | >15% | >95% | Enhanced monitoring |
| AMBER | Mixed signals | Manual review recommended | |
| DOUBLE RED | >15% | <85% | Decline |
The Intelligence Advantage
Ecommerce-native signals that generic bank statement analyzers cannot extract.
Fashion COD RTO runs 28–35% (Unicommerce 2024). Traditional underwriters see returns as revenue loss — we model it as a category-specific cash flow timing parameter.
CAC converts to revenue within 14 days on marketplace platforms. We measure ad-spend-to-revenue ratio as a growth signal, not a cash burn red flag.
Amazon dependency = platform suspension risk. We quantify concentration as a risk multiplier — not just "single source of income."
Real RTO probability depends on category + payment method. COD fashion has fundamentally different risk than prepaid electronics. We model this interaction.
Methodology & Stress Testing
Our model doesn't just score sellers — it survives the stress scenarios that broke traditional underwriting.
| Shock Event | Period | Baseline PD | Stressed PD | Result |
|---|---|---|---|---|
| Demonetization | Nov 2016 | 33.7% | 57.1% | ✅ PASS |
| COVID Lockdown | Mar 2020 | 33.7% | 68.8% | ✅ PASS |
| GST Rollout | Jul 2017 | 33.7% | 54.4% | ✅ PASS |
Amazon payout delay T+7 → T+14 — impact by seller concentration:
High concentration >85%
Moderate 75–85%
Low <75%
Case Studies
Simulated profiles based on model logic — not actual client data
Market & Business Model
| Per-assessment | ₹200–500/call |
| Monthly subscription | ₹50K–2L per NBFC |
| PoC tier | Free 30-day pilot |
| Year 1 | ₹60L ARR |
| Year 2 | ₹3.6 Cr ARR |
| Year 3 | ₹12 Cr ARR |
Team
Data Compliance
Every component designed for RBI-regulated lending infrastructure from day one.
Every decision includes human-readable reason codes. Algorithmic lending guidelines compliant. No black-box scoring.
Seller data processed with explicit consent via Account Aggregator framework. No raw data stored — only derived signals.
RBI regulated consent-based data access. Sahamati ecosystem integration roadmap. Full audit trail on every data pull.
Data Sources
All model assumptions, thresholds, and benchmarks are sourced from published industry data.
Get Started
We'll get back to you within 24 hours with next steps.
SellerScore gives NBFCs the ecommerce-native credit signals they need to confidently lend to India's fastest-growing seller segment.
Email us directly
ceo@splitshare.tech