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AI for freight accounting teams

Accounting cannot invoice what operations has not filed. 4logist AI shortens the document tail: customs packets are assembled from email or WhatsApp, extracted against the actual OCR text, matched to the right order, and filed — so the paperwork invoicing depends on stops living in someone's inbox.

Documents arrive filed, not forwarded

The Documents Agent captures each packet's invoice number at extraction and uses it to keep concurrent packets from the same sender separated — the CMR for invoice A does not get attached to the shipment for invoice B.

Clean packets file to the matching 4logist order automatically when every safety gate passes; anything ambiguous waits for a human, so what lands in the order is reviewable, not guessed.

Fewer chases, faster closes

  • CMR and customs documents extracted with OCR grounding — a blank field for a human beats an invented party name in a legal document.
  • Late-arriving documents rejoin the same sender's open packet instead of creating orphans to reconcile.
  • Operators can upload documents by hand onto a packet when a client sends them outside email.
  • The full quote analysis lands in 4logist request notes when auto-create is on — no re-keying between systems.

Spend you can reconcile

Billing is credit-based with an itemized ledger. Charges map to completed AI actions at their real model cost, idempotently — a retried job never double-charges — and admin grants are audit-logged.

Frequently asked questions

Does the AI create or send invoices?

No. 4logist AI reads and files shipment documents and captures invoice numbers from them; invoicing itself stays in your TMS and accounting stack.

Can a wrong document end up on the wrong order?

Filing requires a confident order match; ambiguous matches gate for a human. Invoice numbers disambiguate concurrent packets from the same sender.

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