AI customer support for Shopify stores

What a support agent actually has to know

A generic chatbot fails on e-commerce because it has no idea what the customer bought. It can quote your returns policy, but it cannot say whether this particular parcel cleared customs on Tuesday.

Reguron agents are wired into the store itself. When someone asks where their order is, the agent looks up the order, reads the current carrier status, and answers with the specific fact — not a link to a tracking page.

• Order-aware answers

  The agent resolves the customer to an order before it replies, so answers reference real line items, fulfilment status and carrier scans.

• Your brand voice, not a bot voice

  Tone, phrasing and escalation thresholds are configured per store. The agent sounds like your team because it is given your team's language.

• Honest escalation

  When confidence is low, or the topic is a refund dispute, damage claim or anything with money attached, the conversation goes to a human with the context already summarised.

• Every channel the customer actually uses

  Email, site chat, Instagram DMs and WhatsApp — the same agent, the same memory of the conversation.

How it works

1. 1. Connect your store

   Authorise Reguron against your Shopify store. The agent reads orders, fulfilments and products. It does not need write access to answer questions.

2. 2. Teach it your policies

   Point it at your returns policy, shipping times, size guides and the macros your team already uses. This is the step that decides answer quality — budget real time for it.

3. 3. Run it in shadow mode

   The agent drafts replies that a human approves before sending. You get a measurable accuracy rate before anything reaches a customer.

4. 4. Release it per topic

   Let it auto-send on the categories where it is reliably right — order status, shipping times, product questions — and keep humans on the rest.

What changes operationally

The point is not deflection for its own sake. The point is that your team stops retyping tracking numbers and starts handling the conversations that actually need judgement.

Measure it on three numbers: median first-response time, the share of conversations closed without a human touch, and — the one that matters most — the complaint rate on auto-sent replies. If the third number moves the wrong way, the configuration is wrong, not the approach.