AI Invoice Processing Saves 312 Person-Hours Per Month
Case Study

AI Invoice Processing Saves 312 Person-Hours Per Month

Services AI Automation, Intelligent Document Processing, ERPNext Integration

What They Faced

A large FMCG distributor was processing 2,000+ vendor invoices per month manually — a team of 4 doing data entry full-time. We deployed our IDP pipeline using GPT-4o Vision + 3-way matching, cutting processing time by 94% and errors by 99%.

How We Solved It

Built an AI-powered invoice processing pipeline using GPT-4o Vision for OCR, automated 3-way PO matching in ERPNext, and an exception-based human review queue. Handles 40+ vendor invoice formats automatically.

We were skeptical AI could handle our 40+ vendor formats. It handles all of them — and finds duplicates we used to miss.

Head of Finance
FMCG Distributor

More Success Stories

Want Similar Results?

Let's have a 30-minute call about your challenges. No sales pitch — just an honest assessment.

Start Your Project All Case Studies