How a global retailer eliminated manual invoice processing with automated data extraction
A configurable invoice extraction platform that turns incoming invoices into structured data and sends it directly to finance systems.

Challenge
The client processed thousands of invoices per month from hundreds of suppliers. Manual entry and batch imports slowed finance operations, increased error rates, and made historical invoice retrieval for audits highly time-consuming.
Outcomes
We delivered a configurable invoice extraction platform that automated ingestion, validation, and system handoff significantly reducing errors and processing time while improving financial visibility.
- Document Extraction API to extract and normalize key invoice fields (amounts, dates, references, and supplier details)
- Web application to upload invoices, review exceptions, and manage a centralized invoice repository
- System integration so extracted data is available in finance tools with minimal manual intervention
Tech Stack
Backend: Python, FastAPI, Document AI
Frontend: React, TypeScript, Tailwind
Infrastructure: Google Cloud Platform, Cloud Run
CI/CD: GitHub-based continuous integration and deployment pipelines
