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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