Proof-of-delivery documents
Read CMRs and delivery notes, including driver photos, match them to the delivery and route exceptions for review.
See the POD workflowIndustries
Keep delivery information moving between drivers, documents and dispatch. We design workflows for proof-of-delivery processing, driver status calls and transport management system (TMS) updates.

The biggest gains usually come from paperwork and status chasing that currently depend on someone re-keying or phoning.
Read CMRs and delivery notes, including driver photos, match them to the delivery and route exceptions for review.
See the POD workflowCall drivers for a status or arrival estimate and prepare a structured update for dispatch.
See driver status callingHighlight missing evidence or conflicting information before an agreed TMS update.
Autonomous AgentsFictional example based on a proof-of-delivery workflow. Rules and approvals are agreed with each operator.
A driver submits a photo of the signed CMR after delivery.
Reference, date, consignee and signature are read and checked.
The document is matched to the delivery record and the agreed checks are applied.
Verified data is passed on; exceptions go to the operations team.

98.5%successfully processed
Agents prepare updates; your rules decide which can be written automatically and which need a person.
We connect TMS and portal systems that offer suitable API access, and confirm the available records and actions during scoping.
Usually, yes. We design intake around how documents are submitted today, such as photos, email or a portal.
Yes. DONE Deliveries uses Multibot to process proof-of-delivery documents and route exceptions for review.
Learn moreWe choose the model and provider for each task during scoping, based on the language, accuracy, latency and data-handling requirements. The workflow is not tied to one provider, so a step can be changed later if the agreed requirements change.

Discovery call
Bring us a process, a recurring enquiry or a pile of documents. We will explore where agents fit and what a useful implementation needs.
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