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Use case

AI agents for retail and e-commerce

Online stores repeat the same work every day. Agents can draft the answers while your team keeps control of refunds and promises.

Where agents help

ProcessWhat the agent doesWho decides
Customer support repliesDrafts answers from your policies and order dataSupport agent
Returns and refund checksChecks a request against your returns policySupport lead
Low stock alertsLists products below your reorder levelPurchasing
Product descriptionsDrafts copy from product detailsMarketing
Review monitoringGroups new reviews and flags urgent complaintsCustomer care

Example in action

A customer asks about a return on WhatsApp. The agent finds the policy and the order, then drafts a reply. Your team approves any refund.

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

Shopify and Stripe connectors are available on paid editions. The Stripe connector is read-only, so an agent cannot move money through it.

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 an agent issue refunds?

Keep refunds with a person. The agent can check the rules and prepare the case.

Start with one process.

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