AI Support That Turns Browsers into Buyers

In Practice

How it works for an online store

A shopper lands on a product page from a paid ad, hovers over the size selector, and opens the chat widget with a single question: 'I'm between a medium and a large — which should I order?' Your AI agent recognises the intent as 'sizing help', pulls the product's sizing chart, and asks the two questions your sizing guide says to ask: chest measurement and preferred fit. The shopper answers; the AI recommends large, links to your return policy in case they're wrong, and quietly drops a 'sizing-helped' tag on the conversation.

If the shopper does buy and the size is wrong, that tag becomes a return-loop trigger: the AI proactively reaches out three days after delivery to ask whether the fit worked, offering a one-tap exchange with a prepaid label rather than waiting for the customer to dig through your returns portal. Stores that run this loop see lower churn after a first-time fit issue — the exchange is fast enough that the brand experience survives the wrong size.

On the post-purchase side, the same agent handles the boring 90% of inbox volume: order status, tracking, address changes, refunds within policy, and back-in-stock alerts. Anything outside policy — a high-dollar VIP refund, a damaged package with photos, a chargeback threat — escalates to a human with full context attached. Agents stop typing the same tracking links a hundred times a day and start handling the conversations that actually shape your brand.