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Use case

AI agents for logistics and supply chain

Delays and paperwork arrive all day. Agents can sort them first, so your team deals with the exceptions that matter.

Where agents help

ProcessWhat the agent doesWho decides
Shipment exceptionsReads carrier emails and lists late or damaged shipmentsOperations lead
Customer delivery updatesDrafts an update with the latest statusCustomer service
Shipping documentsCompares packing lists and invoices, and flags differencesDocumentation team
Carrier invoice checksCompares charges with agreed ratesAccounts payable
Daily control tower digestSummarises open issues each morningOperations lead

Example in action

A new email from a carrier starts a workflow. The agent reads it, matches the shipment in your database, and drafts a customer update. A coordinator approves it before it is sent.

This is an example of how Hivelock could be used, not a customer story. Check results with your own data before relying on them.

What to be careful about

Carrier emails can contain errors or misleading text, so treat them as outside data and keep approval on customer messages.

How to start

  1. Choose one process with clear volume.
  2. Measure the time it takes today.
  3. Run the agent alongside your team, with approval on every outgoing step.
  4. Compare time saved, errors and rework.
  5. Decide whether to expand, improve or stop.

Common questions

Can agents track shipments live?

They can check any system with an API or database connection each time a workflow runs, including on a schedule.

Start with one process.

Tell us what your team wants to automate. Get early access.