Exceptions burn the day
Detention, demurrage, missed pickups, and damaged freight bounce between systems and people.
Document automation, exception routing, status updates, and cross-system orchestration for brokers, 3PLs, carriers, and warehouse operators.
Most of the drag on a logistics operation comes from the same handful of repetitive operations. They're the easiest to automate and the highest leverage.
Detention, demurrage, missed pickups, and damaged freight bounce between systems and people.
BOLs, PODs, customs forms, and invoices arrive as PDFs, scans, emails, and faxes — re-keyed by hand.
Shippers and consignees ask "where's my load" all day long, every day.
These are the workflows we've automated for logistics operations like yours — usually live within weeks of an assessment.
BOL, POD, rate confirmations, and customs docs extracted into your TMS automatically.
Detention, late delivery, and OS&D events triaged and routed with recommended next steps.
Shipper / consignee status queries answered from your TMS, carrier APIs, and load notes.
Quote, capacity, and lane-fit decisions surfaced from rate history and carrier performance.
Customer SOPs extracted from emails / decks and turned into structured routing rules.
Carrier invoices reconciled against rate sheets and accessorial rules.
We don't sell models. We deploy systems that take real actions in real tools — with human approval where it matters.
OCR + LLM extraction routes load info, addresses, and accessorials directly into the TMS.
Watches loads in motion, surfaces exceptions, drafts comms to all parties.
Answers status queries from shippers and consignees from your real-time data — no portal logins.
Carrier invoices matched line-by-line to rate sheets; exceptions routed for review.
Answers ops questions from customer SOPs, lane history, and standard operating procedures.
Every AI extraction and message is logged and reviewable per load, customer, and carrier.
These engagements usually start with one customer or one lane — and expand as the documentation and exception patterns prove out. Outcomes vary by lane mix and existing systems.
We identify the documentation and exception workflows where AI can save dispatcher and ops time quickly, and return with a prioritized plan — not a slide deck.