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.

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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: PythonPython, FastAPIFastAPI, Document AI

Frontend: ReactReact, TypeScriptTypeScript, Tailwind CSSTailwind

Infrastructure: Google CloudGoogle Cloud Platform, Cloud Run

CI/CD: GitHubGitHub-based continuous integration and deployment pipelines

FAQs

Most clients see initial results within 2-4 weeks. Our AI Audit delivers a comprehensive report and prototype in 15 days, while full integrations typically show measurable impact within 30 days.

We start with discovery and stakeholder interviews, then move to rapid prototyping. From there, we iterate based on feedback, integrate with your systems, and provide ongoing support and optimization.

We implement enterprise-grade security including end-to-end encryption, SOC 2 compliance, data isolation, and strict access controls. Your data never leaves your infrastructure unless explicitly configured.

Reach out to our team directly through the 'Book call' button. We regularly take on custom projects and can discuss how we might help with your specific needs.