We design AI workflows around the way your team already operates. This prototype shows how freight teams can process BOLs, PODs, rate confirmations, invoices, faxes, scans, and phone photos faster without forcing a new system onto your operations team.
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The prototype shows how AI document intelligence can fit into your current freight operations, from messy document intake to extraction, validation, review, and system sync.
Reads phone photos, faxes, multi-page PDFs, typed exports, and scanned documents.
Extracts load numbers, weights, dates, charges, signatures, accessorials, and confidence scores.
Compares extracted data against rate confirmations, contracts, pickup manifests, and invoices.
Pushes approved records into McLeod, TMW, Tailwind, Sage, QuickBooks, or NetSuite.
The same architecture works across carriers, brokers, and 3PLs. We plug into the systems your team already uses so automation supports the workflow instead of disrupting it.
Documents arrive through email forwarding, EDI, mobile upload, watched folders, or SFTP. Anything that lands gets queued for processing.
A vision and language model classifies each document, locates every field, and turns it into structured JSON with confidence scores.
The system checks extracted data against rate confirmations, contracts, tariffs, and manifests, then routes exceptions for review.
Approved records move into your TMS and accounting tools so invoices can be queued within minutes of POD receipt.
Freight teams processing thousands of documents per month can move from manual rekeying to exception-based review. In this prototype scenario, invoices go out within 36 hours of delivery instead of nine days, helping reduce DSO, speed up cash collection, and free back-office staff for higher-value work.
Schedule a short walkthrough. We’ll show the AI document processing demo, understand your current freight paperwork workflow, and discuss where automation could move the needle fastest.