AI document intelligence for freight teams

Helping freight companies move the needle forward, faster.

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.

9d → 36h Billing cycle time
98.4% Field extraction accuracy
12,400/mo Documents processed
$1.8M Annual back-office savings

Trusted by teams and companies including

What the pipeline does

Designed around your workflow, not the other way around.

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.

Vision + Language Model

Reads phone photos, faxes, multi-page PDFs, typed exports, and scanned documents.

Structured Field Extraction

Extracts load numbers, weights, dates, charges, signatures, accessorials, and confidence scores.

Cross-Reference Validation

Compares extracted data against rate confirmations, contracts, pickup manifests, and invoices.

TMS / Accounting Sync

Pushes approved records into McLeod, TMW, Tailwind, Sage, QuickBooks, or NetSuite.

How it works

A workflow-first pipeline from inbox to billable invoice.

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.

1
Ingest

Documents arrive through email forwarding, EDI, mobile upload, watched folders, or SFTP. Anything that lands gets queued for processing.

2
Extract

A vision and language model classifies each document, locates every field, and turns it into structured JSON with confidence scores.

3
Validate

The system checks extracted data against rate confirmations, contracts, tariffs, and manifests, then routes exceptions for review.

4
Sync

Approved records move into your TMS and accounting tools so invoices can be queued within minutes of POD receipt.

Outcome

Move faster without adding more manual work.

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.

DSO reduction −23%
Manual entry −94%
Exception rate 6.1%
Book a call

See what this could look like in your workflow.

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.

No technical prep required
Designed around your existing workflow
Useful for operations, billing, procurement, and finance leaders
© RemoteBase. Custom AI workflow prototypes for freight and logistics teams.