Case Studies
Mar 11, 2025
AI-Powered Invoicing Automation for a Logistics Company
A global logistics company faced significant challenges in invoice processing, leading to revenue leakage and frequent disputes. The company managed a large volume of invoices that required manual approval due to disparate systems ...
Summary
A global logistics company faced significant challenges in invoice processing, leading to revenue leakage and frequent disputes. The company managed a large volume of invoices that required manual approval due to disparate systems, causing delays in invoice clearance. The existing system lacked scalability, resulting in limited visibility and slow reconciliation.
To address these issues, a team of consultants and developers from TenJumps implemented an AI-powered invoicing automation process. This solution involved extracting invoice details from various document formats, including PDF, Excel, and XML, as well as from emails. OCR tools were used to digitize scanned copies, while open-source AI tools like ChatGPT were leveraged to interpret both structured and unstructured data such as due dates, total amounts, client names, and addresses.
The extracted data was integrated into a system for reconciliation with shipment manifests, and an automated workflow engine was developed for real-time validation and approvals. Additionally, a predictive analytics engine was built to forecast payment trends and optimize cash flow.
As a result, manual effort was reduced by 70%, and the invoice approval process became 50% faster, with significantly fewer errors, leading to a noticeable reduction in disputes.