How Finpass SMS Analyser Enables Instant Credit Decisions
Learn how transaction SMS analysis helps assess thin-file customers, reducing default rates by 35% while expanding lending reach to underserved segments
The Challenge
Assessing credit risk for customers with limited credit history remains one of the biggest challenges in lending.
- High rejection rates for thin-file and new-to-credit customers
- Limited data available from traditional credit bureaus
- Growing demand for instant personal loans
- Higher default rates in the thin-file segment
- Need for alternative data sources for accurate risk assessment
The Solution
Finpass SMS Analyser extracts valuable financial insights from transaction SMS messages to build a comprehensive credit profile.
Transaction Mining
Extract bank transactions, UPI payments, and wallet transactions from SMS messages
EMI Detection
Identify existing loan EMIs, credit card dues, and recurring payment obligations
Spending Patterns
Analyze spending behavior, merchant categories, and financial discipline
Income Signals
Detect salary credits, business receipts, and other income indicators
How It Works
User Consent
Secure permission-based access to transaction SMS via mobile SDK
Smart Parsing
AI-powered parsing of SMS messages to extract structured financial data
Credit Scoring
Generate alternative credit scores based on SMS-derived financial behavior
Real-time Decision
Instant credit decisions with confidence scores and risk flags
The Results
SMS Analyser enables lenders to serve previously underserved customer segments profitably.
Significant reduction in default rates for thin-file customers
Increased approval rate for new-to-credit customers
Instant credit decisions with comprehensive risk assessment
Extended reach to previously unserviceable segments
"SMS Analyser opened up a whole new market for us. We can now confidently lend to customers we previously had to turn away due to lack of credit history."
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