The documents read themselves.
Freight runs on paper — Bills of Lading, air waybills, invoices, packing lists, customs declarations. Document AI reads them the moment they arrive, extracts and validates every field against your shipment data, and pre-fills the next step. No templates, no re-keying. A capability of WHIZAI, working across your WHIZTEC operation.
Document AI, at work.
Document AI
All sources · TodayWhat is Document AI?
Document AI uses machine learning and language models to read the documents that run freight and trade — Bills of Lading, air waybills, commercial invoices, packing lists, customs declarations and certificates — and turn them into structured, validated data automatically. It replaces manual keying with extraction, classification and validation, and routes only the exceptions to a person.
As a capability of WHIZAI, it does not work in isolation: it reads the document, matches it to the right shipment in WHIZCargo or WHIZERP, cross-checks it against your master data, and pre-populates the next step — customs filing, documentation or billing — so the data flows instead of being retyped.
It understands the document, not just the characters.
Template-based OCR reads fixed positions and fails the moment a carrier changes a form. Document AI understands what an HBL number, a consignee or an HS code is, and extracts it from any layout — then validates it against your shipment and master data and flags what does not reconcile.
- Layout-independent extraction across carriers and formats
- Field validation against shipment, party and tariff master data
- Confidence scoring — high-confidence auto-processed, the rest reviewed
- Improves as it sees more of your documents
Every document-heavy step in the shipment lifecycle.
Hours of keying gone — and fewer errors with it.
Document handling is one of the largest hidden labour costs in freight, and a common source of costly errors — a wrong weight, a missed variance, a mis-keyed HS code. Document AI removes the keying on the bulk of documents and validates the rest, so your team spends its time on the exceptions that genuinely need judgement. See how WHIZAI applies across your operation →
Document AI questions
What is Document AI in logistics?
Document AI is the use of machine learning and language models to read the documents that run freight and trade — Bills of Lading, air waybills, commercial invoices, packing lists, customs declarations and certificates — and turn them into structured, validated data automatically. It replaces manual keying and rekeying with extraction, classification and validation, keeping a human in the loop for exceptions.
How is it different from traditional OCR?
Classic OCR reads characters from a fixed template and breaks the moment a layout changes. Document AI understands the document's meaning regardless of format — it knows what an HBL number, a consignee or an HS code is, extracts it from any layout, cross-checks it against your shipment and master data, and flags what does not reconcile. It gets better as it sees more of your documents.
Which documents can it handle?
House and master Bills of Lading, air waybills, commercial and proforma invoices, packing lists, certificates of origin, customs declarations, arrival notices and delivery orders — across air, sea and road. It extracts the fields, matches them to the shipment, and pre-populates the next step (customs filing, billing, documentation).
Is our document data kept secure?
Yes. Document AI runs inside your WHIZTEC deployment with role-based access, so users see only what their role permits. Your documents are processed to produce data for you — not pooled with other customers or used to train shared models. Each client runs on a dedicated, isolated deployment.
Does a human still check the output?
Yes — by design. Document AI handles the routine, high-confidence extractions automatically and routes low-confidence or mismatched documents to a person to review. You get the speed of automation on the bulk of the work and human judgement exactly where it is needed.
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