KiranaFlow AI

A Credit Bureau for the Physical World

Remote cash flow underwriting for India's 13M+ kirana stores. We replaced a 5-day, ₹2,000 field-officer process with a 10-second AI pipeline that fuses vision, geography, payment behavior, and economic reasoning to generate a formal credit decision.

13M+

Kirana Stores Addressable

10s

End-to-End Decision Time

90%

Cost Reduction vs Field Visit

₹25K+

Micro-Loans Now Profitable

System Architecture

How It Works

From smartphone photo to disbursement decision in under 10 seconds

01

Capture

Field agent uploads 3–5 interior photos, a supplier bill, and a bank statement via our mobile-first portal.

02

Vision

14 features extracted (V1–V7 visual + G1–G7 geo-spatial) via YOLO-based shelf density analysis.

03

Fusion

Supply × Demand × Location × Seasonality fusion model synthesises multi-signal revenue proxy.

04

Trust

5 fraud patterns + 4-component confidence score with EXIF metadata audit and cross-validation.

05

Decide

Loan eligibility band + auto-generated PDF Sanction Report. Underwriting completed in seconds.

4 Core Innovations

Each independently grounded in microeconomics. Together unbeatable.

File 01

Multi-Signal Revenue Proxy

Fuses vision (YOLO shelf features) + geo-spatial (OSM) + document (OCR) signals. Single inflated source can't fool consensus. Catches 3 fraud patterns at intake.

Revenue
File 02

Cash Conversion Cycle Estimator

Inventory + Receivables − Payables. Reveals true solvency. Auto-recommends loan band: supplier-funded, balanced, capital-intensive, or high-risk.

Solvency
File 03

Location Intelligence

Demographics × Competition × Traffic × Tier produces 0.35×–1.85× multiplier. Free Census + OSM + Google Places. Tier 2/3 markets unlocked.

Geography
File 04

Dynamic Confidence Recalibration

Multi-factor confidence with fraud penalty gates. Every EMI payment retrains the model. Portfolio-level NPA learning auto-tunes weights over time.

Confidence

Before vs After

From manual judgement to AI-driven credit intelligence

Manual Underwriting (Today)

  • Field officer visits store · 30–60 min observation
  • ₹800–₹2,000 per application
  • 5–10 days to decision
  • ±40% income variance between officers
  • Owner-declared income inflated 30–80%
  • Min loan ₹1.5–2L (cost floor)
  • Tier 2/3 unreachable

Guardian AI Workstation

  • Photos, GPS & documents fused in < 10 sec
  • ₹80–₹200 per application (90% ↓)
  • Instant PDF Sanction Report generation
  • Deterministic — same input, same output
  • Truth-Layer Verification & OCR validation
  • ₹25,000+ loans now profitable
  • Works anywhere in India
Transparency Protocol

Enterprise Validation Framework

Our underwriting engine maps to every dimension of institutional credit risk policy

01

Feature Extraction

Deep YOLOv8 integration for visual shelf density and SKU diversity proxy.

Weighted 35% of total
02

Economic Logic

Multi-Signal Revenue Engine fusing computer vision with OSM geo-spatial intel.

Weighted 25% of total
03

Cash Flow Analysis

CCC (Cash Conversion Cycle) calculator deriving accurate solvency metrics.

Weighted 15% of total
04

Guardian Fraud Audit

Forensic Flashcard logic detecting staging, duplicate evidence, and EXIF spoofing.

Weighted 20% of total
05

Production Ready

FastAPI backend, React UI, automated PDF Sanction Reports, and LOS-ready outputs.

Weighted 5% of total

Ready to underwrite at scale?

Upload store evidence and run an AI-powered credit assessment in under 10 seconds. Zero field visits. Automated decisions.