Logistics & Transport
CMR Waybill / Freight Bill
Extract consignor, consignee, goods and delivery confirmation data from CMR waybills and freight bills.
The Challenge
CMR waybills are multi-copy carbon forms, frequently handwritten, stamped and signed, photographed at delivery in poor light. Proof-of-delivery signatures, reservations and damage notes must be captured for billing and claims.
Industries
Logistics & transport, forwarding, manufacturing shipping, trade.
Who Uses It
Dispatch, billing, claims, proof-of-delivery management.
BASE Schema
CMR number — Text
Consignor / sender — Key value set (name, street, postal code, city, country)
Consignee — Key value set (name, street, postal code, city, country)
Carrier — Text
Place & date of taking over — Key value set (place, date + time)
Goods description & weight — Table
Delivery date — Date
Signature / stamp present — Boolean
Reservations / damage notes — Text
Recommended pipeline settings — High precision mode, Checkbox detection
OPTIONAL Validation
POD signature/stamp presence; consignee match to transport order; damage-reservation flag triggers claim; date consistency.
Frequently ASked Questions
How do you digitise CMR waybills and proof of delivery?
Capture sender, consignee, goods and the signature/stamp from the scanned or photographed CMR, confirm delivery, and trigger billing — flagging any damage reservations.
Can AI read handwritten and stamped freight documents?
Yes — handwriting, stamps and signatures are recognised and uncertain fields are sent to human review.
Why automate CMR processing for a logistics operation?
It accelerates proof-of-delivery and billing, builds a searchable POD archive, and surfaces damage notes that feed claims faster.
See more use cases.
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