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AI / Business Automation

Invoice Intelligence Platform

A Laravel-based invoice processing application that accepts scanned invoices, extracts information, compares products against a master product database, and automatically creates missing master products.

Laravel
PHP
SQL Server
S3
MinIO
REST API

The Problem

Manual invoice processing is slow, error-prone, and requires significant human effort to extract data, match products, and maintain a master product database.

The Solution

Built an automated pipeline that scans invoices, extracts structured data (company details, invoice metadata, line items with quantities and pricing), normalizes product names, and matches them against a master product database — automatically creating new entries when no match is found.

System Architecture & Data Flow

Execution Pipeline
1Client uploads scanned invoice
2Laravel API receives and stores document in S3-compatible storage (MinIO)
3Extraction service processes invoice data
4Product matching service normalizes and searches master_product table
5Unmatched products are auto-created with company_id reference
6Results stored in database with full audit trail

Engineering Challenges

Technical hurdles encountered and resolved during implementation.

Normalizing product names from varied invoice formats for reliable matching

Designing a master_product schema that separates product identity from pricing

Handling S3-compatible storage integration with MinIO for document persistence

Building a robust pipeline that gracefully handles extraction failures

Key Capabilities

  • Invoice data extraction (company info, invoice metadata, line items)
  • Automatic product name normalization and matching
  • Master product auto-creation for unmatched items
  • S3-compatible document storage via MinIO
  • Company reference linking (company_id → master_company)

Measurable Impact & Business Outcomes

  • Reduced manual data entry for invoice processing
  • Maintained a growing, accurate master product database
  • Enabled consistent product tracking across invoices

Engineering Insights & Lessons

  • Product identity should be separated from pricing in master data design
  • Normalization quality directly determines matching accuracy
  • S3-compatible storage provides flexibility for future cloud migration

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