NBFC Underwriting for Traders
Automated underwriting for trader-led MSME files with volatile bank statement patterns and thin formal documentation.
Target Audience
NBFC credit teams financing kirana distributors, wholesalers, and trading businesses.
What Makes This Hard
Trader accounts often show mixed personal and business cash flows, seasonal spikes, and fragmented counterparties. Manual review increases turnaround time and inconsistency.
How Santulan Solves It
Santulan combines bank statement intelligence, GST trails, and policy-aligned risk flags to generate structured underwriting packs for trader segments.
Lower decision TAT for trader files
Consistent cash-flow quality scoring
Early fraud and circular-flow signal detection
Policy-aligned approvals with explainable factors
How It Works
Ingest borrower data
Collect bank statement, GST, and borrower profile data for the requested credit line.
Policy-aligned analysis
Score cashflow quality, detect anomalies, and apply lender-specific underwriting policy checks.
Credit decision pack
Review explainable risk factors and produce a structured recommendation for sanction or decline.
Frequently Asked Questions
How does Santulan improve underwriting for trader businesses?
Santulan reconstructs transaction behavior, normalizes supplier and buyer patterns, and highlights repayment capacity markers so analysts can review trader files faster and with better consistency.
Can this workflow be integrated with existing LOS systems?
Yes. Output can be consumed through APIs and embedded into LOS workflows with configurable scorecards and policy rules.
Does it work for seasonal or cyclic businesses?
Yes. The model tracks seasonal volatility and compares it against peer behavior to avoid penalizing expected business cycles.
Ready to implement this workflow?
Book a demo and see a live underwriting workflow built around your borrower segment.