AI-Powered Invoice Data Capture for Freight Claims
'A National Freight Warranty & Claims Management Provider operating a sophisticated cloud-based claims management system recognized an opportunity to push their digital transformation further. While their platform successfully managed complex claim workflows, invoice data extraction remained the one manual intervention point in an otherwise automated pipeline. Their technology leadership team envisioned an AI-powered solution that could intelligently parse incoming invoices, validate data against business rules, and feed directly into their existing API infrastructure. The challenge wasn't just automation—it was about implementing capabilities that could scale with their growing invoice volumes while adhering to their strict data governance framework and Australian data residency requirements.'
Key Results
The Challenge
A National Freight Warranty & Claims Management Provider with an established digital claims management platform was seeking to leverage AI to eliminate the remaining manual touchpoints in their invoice processing workflow. Despite having a robust digital infrastructure processing over 50,000 invoices annually, their operations team identified invoice data extraction as the final bottleneck preventing largely automated claims intake. They needed an intelligent automation solution that could seamlessly integrate with their existing technology stack while maintaining their high standards for data accuracy and compliance.
Our Solution
We enhanced their existing claims management platform by integrating an AI-powered Optical Character Recognition (OCR) system capable of automatically extracting key information from invoices and uploading it directly into their workflow.
Implementation Process
Conducted end-to-end process assessment to map the manual invoice handling workflow
Designed and built a secure API integration layer between the OCR engine and the claims management system
Developed invoice parsing models using AI Document Intelligence to identify and extract key data fields
Implemented automated validation and flagging for incomplete or low-confidence data captures
Built monitoring dashboards to track processing volumes, data accuracy, and exception rates
Deployed the solution in a production environment compliant with Australian data residency standards
"Automating the invoice capture process has completely transformed our claims workflow. What once took several minutes per invoice now happens instantly — allowing our team to focus on claims resolution instead of data entry."
Technologies Used
What's Next
The company is exploring extending the AI automation framework to other document types including shipping manifests, damage reports, and supplier contracts.