Industry

AI Automation for Logistics & Freight

Stop paying people to retype paperwork and answer status calls

Logistics runs on documents and status enquiries — bills of lading, customs paperwork, proof of delivery, and an endless stream of 'where is my shipment' calls. Both are highly automatable, and both currently consume operational staff who should be handling actual exceptions.

Every document
ParsedEvery document
Delay alerts
ProactiveDelay alerts
Status calls
FewerStatus calls
Where it hurts

What slows logistics operators down

  • Shipping documents arrive in every format and get manually keyed into the TMS
  • Status enquiries flood phone and email, most of them answerable from tracking data
  • Exceptions and delays are spotted late because nobody is watching continuously
  • Carrier rates and capacity live across portals, spreadsheets, and inboxes
  • Proof of delivery reconciliation against invoices is slow and dispute-prone
FAQ

Logistics questions we get asked

Can it read customs and shipping documents reliably?
Bills of lading, commercial invoices, packing lists, and customs declarations extract well because their fields are conventional even when layouts vary. Confidence scoring routes anything ambiguous to review rather than posting a guess.
How does proactive delay notification work?
The system watches tracking events against expected milestones and flags a shipment the moment it slips, notifying the customer before they call. Most status enquiries are anxiety about silence rather than a genuine need for data.
Will it integrate with our TMS?
Most transport management systems expose an API or support EDI. Where neither is available we work from scheduled exports, which is slower but entirely workable.

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Without More Busywork?

Bring the workflow, lead leak, reporting gap, or knowledge bottleneck. We'll show where automation creates measurable ROI and what it would take to ship it.