Customer update and service recovery
Detect late, incomplete, or exception-prone orders. Draft customer updates and recovery steps with shipment context attached.
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Industries / 05
We deploy AI into the workflows that run logistics, dispatch, and distribution teams.
Logistics work breaks in exceptions: the missed pickup, incomplete proof, address problem, damaged shipment, late invoice, or customer update no one owns. We deploy AI into those handoffs.
When this industry needs the engine treatment
- Dispatch updates, customer questions, and driver notes arrive in different channels with no single owner.
- Proof-of-delivery documents and photos are reviewed manually after the customer is already asking for status.
- Claims and exceptions require digging through messages, scans, invoices, and delivery records.
- Recurring route and service issues stay hidden until they become customer churn.
How we deploy it, by engine
Dispatch exception routing
Classify address issues, delays, missed pickups, damages, and driver notes. Route to the right owner and update the source system.
POD, claims, and invoice reconciliation
Match proof, delivery status, claims evidence, invoices, and payouts. Surface mismatches before disputes age out.
Route and account memory
Make account rules, route quirks, customer preferences, customs notes, and past exceptions retrievable for dispatch and service teams.
On the ground
- Exceptions routed by type and owner instead of sitting in dispatch chat.
- POD and claims packages assembled with source evidence.
- Customer updates drafted before the customer has to chase.
Industry diagnostic
Diagnose your logistics workflow
Show us the exception loop that burns dispatcher time or customer trust. We will map the first deployable workflow.
Workflow map / eval harness / go-no-go