Manual document processing — data entry from invoices, forms, and contracts — is one of the biggest hidden costs for growing Australian businesses. This case study explores how an Intelligent Document Processing (IDP) system delivered measurable ROI for a professional services firm in Sydney.
The Problem
The client processed approximately 400 supplier invoices per week. Each invoice required manual data entry into their accounting system, cross-referencing purchase orders, and approval routing. On average, each invoice took 8 minutes to process — totalling over 53 hours of staff time weekly.
The Solution
We implemented an IDP pipeline combining OCR (optical character recognition), AI field extraction, and automated validation rules. The system:
- Ingests PDFs from email attachments automatically
- Extracts supplier name, ABN, invoice number, line items, GST, and total
- Validates against purchase orders in the ERP system
- Routes exceptions to a human reviewer queue
- Exports approved data directly to the accounting software
The Results (After 3 Months)
- 92% straight-through processing rate — only 8% required human review
- Processing time per invoice reduced from 8 minutes to under 30 seconds
- Staff hours saved: 45+ hours per week
- Error rate reduced from 3.2% to 0.4%
- Full implementation cost recovered within 4 months
Key Technology Components
- Python-based OCR pipeline using OpenCV and Tesseract
- Named Entity Recognition (NER) model fine-tuned on Australian invoice formats
- REST API integration with accounting software
- Secure cloud storage with Australian data residency
If your business handles repetitive document workflows, IDP can deliver similar results. Contact Ozlin Info to discuss a pilot project tailored to your operations.