AI Freight Document Processing for a 3PL
Document processing that reads bills of lading, proofs of delivery and carrier invoices, matches them to shipments in the TMS and flags billing discrepancies before invoices go out.
A team of four keyed document data into the TMS by hand. Invoicing waited on paperwork, and carrier overcharges slipped through because nobody had time to check them.
The approach.
- 01Collected document samples from the top 40 carriers.
- 02Extracted fields from scans, photos and PDFs and matched them to TMS shipments.
- 03Compared carrier invoices with the rate confirmation and flagged differences.
- 04Sent unmatched or low-confidence documents to a review queue.
Claude reads each document regardless of layout, extracts the shipment fields, matches them to the right load and explains any mismatch.
How we measure it.
Data entry is measured as documents keyed by hand. Billing cycle is delivery date to invoice date in the TMS. Overcharges count only disputes the carrier accepted.
Before you ask.
Yes, for most legible documents. Beyond Technologies routes anything below the confidence threshold to a person instead of guessing.
Any TMS with an API or a reliable import, including McLeod, Revenova and custom systems.
Want this measured on your own data? Start with a pilot.
Let's put AI to work in your business.
A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.