AI Receipt Scanner Cuts Monthly Close from 4 Days to 6 Hours for 8,000-User Fintech Startup
SpeedMVPs delivered a React Native + Next.js expense tracking MVP in 3 weeks, integrating Google Vision API for OCR receipt extraction and a fine-tuned GPT-4o classification layer that maps line items to 48 merchant categories with 94% accuracy. The backend runs on Supabase (pgvector for semantic search across past expenses) with a real-time insights dashboard surfacing weekly spend anomalies via a lightweight RAG pipeline — all deployed on Vercel Edge with a Plaid integration for bank-feed reconciliation.
Project Overview
What We Built
- SpeedMVPs delivered a React Native + Next.js expense tracking MVP in 3 weeks, integrating Google Vision API for OCR receipt extraction and a fine-tuned GPT-4o classification layer that maps line items to 48 merchant categories with 94% accuracy. The backend runs on Supabase (pgvector for semantic search across past expenses) with a real-time insights dashboard surfacing weekly spend anomalies via a lightweight RAG pipeline — all deployed on Vercel Edge with a Plaid integration for bank-feed reconciliation.
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