Delivery proof should become usable data the moment the job closes.

Proof of delivery gets captured in the field and then sits as a photo or signature nobody has turned into usable data for billing, disputes, or reporting.

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Trigger

A driver or crew marks a delivery complete and captures proof (signature, photo, timestamp).

End state

Proof of delivery is attached to the job record and immediately usable for billing, dispute resolution, and reporting, without manual retrieval.

People involved

Driver / crewBilling / accountingCustomer service handling disputes

Typical systems

TMS / driver appDocument storageAccounting / billing system

Common failure modes

→Proof of delivery is captured but sits unattached to the job record.
→Billing waits on someone manually retrieving proof before invoicing.
→A delivery dispute requires digging through a driver’s app or a shared folder.
→Late or missing proof isn’t flagged until someone specifically looks for it.

What can be automated

→Attaching proof of delivery to the job record automatically at capture.
→Releasing the job to billing once proof is confirmed complete.
→Flagging jobs missing proof past a defined window.

What stays human

→Resolving a delivery dispute once proof is retrieved.
→Judgment calls on incomplete or unclear proof.

Exception handling

Deliveries with missing or unclear proof are held from billing and routed to a review queue instead of invoicing on an assumption.

Source of truth

The job record in the TMS is authoritative, with proof of delivery attached directly to it rather than stored separately.

Implementation pattern

Connect the driver app’s proof capture directly to the job record, gate billing release on proof confirmation, and flag missing proof automatically.

ROI framework

Estimate using: deliveries per week x minutes currently spent retrieving proof for billing or disputes x the loaded hourly cost of the person doing it, plus delayed-billing cash-flow impact.

Run the numbers →

→ Next

Book a discovery call.

Bring the process that is costing you the most time. We’ll tell you whether it looks like a systems problem, a process problem, or something you should not automate.

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If we're not the right fix, we'll say so on the call and point you somewhere better.