Case study · Logistics
How a Logistics Company Automated Invoice Processing with an AI Agent
Thousands of carrier invoices arrived as PDFs every month. An AI agent with human review took over the routine work.
Illustrative engagement scenario — names and details are representative of typical client situations.
- Client
- Freight logistics company
- Industry
- Logistics
- Location
- Europe
- Roles hired
- 1 AI agent developer, 1 data entry operator
- Engagement
- Full-time, ongoing
Automatedextraction for routine invoices
Humanreview of every exception
Fastermonth-end close
The challenge
The finance team manually keyed carrier invoices and matched them to shipments, causing delays and errors.
The solution
An AI agent developer built a pipeline that extracts invoice fields, matches them to shipment records and flags discrepancies. A data entry operator reviews exceptions and feeds corrections back.
How the agent works
- Invoice arrives by email.
- Fields extracted and validated.
- Matched to shipment and rate.
- Confident matches posted; exceptions queued.
Controls
Read-only access to shipment data, approval before posting, full logs.
Lessons
The human-in-the-loop design built trust with the finance team.
See AI agent developers.
