AI for ecommerce.

What’s included

Choose the store work that needs support.

Each workflow is scoped around your platform, available information and the way your staff want to handle exceptions.

Customer question handling

Prepare answers from approved product and store information, and pass unfamiliar or account-specific questions to the right person.

Cart and follow-up messages

Check existing recovery features, then agree suitable reminders and stopping rules where an additional workflow is useful.

Product description drafts

Turn verified specifications into a draft your team checks before publication. Product details and claims still need human approval.

Repeat-purchase communication

Prepare agreed reorder or availability messages for appropriate contacts, with clear preferences and stop rules.

Order-related handovers

Route a question to someone who can access the relevant order and resolve it, rather than guessing what has happened.

How it works

Build around the store’s real information.

The work starts with one process and includes the cases where a message should not be sent.

Review the current platform

Identify built-in features, existing messages and connected apps. Avoid creating duplicate reminders or paying twice for the same job.

Agree the source information

Confirm product details, shipping information and the store policies an assistant may use. Name the person who keeps them current.

Configure and test the workflow

Check changed stock, completed orders, repeat events, missing details and requests to stop. Keep unsupported questions in a human queue.

Review the first use

Check the actual messages and outcomes before extending the workflow. Set responsibilities for updates, faults and ongoing costs.

Choosing a starting point

Measure the task before choosing the tool.

A store with a large catalogue may need help preparing consistent product drafts. A store receiving the same delivery question repeatedly may benefit from clearer information on the website before adding an assistant. Cart recovery is worth checking against the features already running in your platform.

Look at the volume of questions, time spent preparing content and follow-ups already sent. Those records help define what success would mean. We do not assume an unanswered question or an abandoned cart would otherwise have become an order.

For work across a physical shop and online store, see AI for retailers. The wider small business guide covers reminders and enquiry handling outside ecommerce.

Product facts and customer control

Keep claims and decisions tied to information you approve.

An assistant must not invent stock availability, delivery dates, product specifications or discounts. A confirmed order is different from a product enquiry; order-specific information needs a suitable connection and access checks. If the required information is unavailable, the question goes to a person.

Your team reviews product drafts and any proposed customer wording. Refunds, complaints and unusual requests follow the process you approve. The build runs on accounts in your business's name and your customer list stays with you, so it keeps working if you stop working with us. Data handling is agreed in the scope.

Existing apps and software subscriptions may still have running costs. We identify those alongside the build rather than promising that everything will keep working without maintenance.

For independent background, the Australian Government explains AI in business and choosing digital tools.