Understanding the multi-factor algorithm behind GreenLend's fair and sustainable credit assessment
Limited weight for underserved populations without formal credit history
Primary indicator: mobile payments, business presence, utilities, social proof
Sustainability bonus: carbon footprint, renewable energy, job creation, community impact
We prioritize alternative data (50%) because traditional credit history is often unavailable for underserved populations. SDG scoring (30%) incentivizes sustainable practices, while traditional data (20%) provides baseline trust signals where available.
Starting point for individuals without formal credit history
Electricity, water, and internet payment consistency over 24 months
Weighted contribution to final score: 12 points (60 × 0.20)
Weighted contribution to final score: 45 points (90 × 0.50)
Weighted contribution to final score: 21 points (70 × 0.30)
Weighted sum of all three components
Alternative data (50% weight) ensures those without bank accounts aren't automatically excluded
Green businesses get better rates (-2% interest) and higher approval odds through SDG scoring
All factors and weights are public—borrowers know exactly what contributes to their score