Online stores

AI agent for Shopify products on Messenger

An AI agent connects a private Messenger question to a specific Shopify product and variant, with the purchase flow subject to the available connection.

Explore the AI agent on other channels

The customer context

Do you still have the green Everyday hoodie in large?

A customer asks about an older post after the offer has changed. The agent checks the connected catalog rather than relying on a remembered price or variant.

What remains after the conversation

The AI agent created a cart with the selected product and variant. The customer completes checkout and payment in the Shopify store; the order is not confirmed yet.

Your store Messenger
  1. Customer

    Do you still have the green Everyday hoodie in large?

  2. Telp

    Yes, it is available at 4,500 RSD. Shall I create a cart for one?

  3. Customer

    Yes, one green Everyday hoodie in large.

  4. Telp

    The cart with one green Everyday hoodie in large is created. It costs 4,500 RSD; complete delivery and payment in the store.

From a question to the next step

  1. 01

    A private page message arrives.

  2. 02

    Telp clarifies the model and checks the catalog.

  3. 03

    Purchase continuation depends on verified connection capabilities.

From a Facebook offer to a clear product choice in Messenger

A customer opens Messenger about a product seen in an older post. The AI agent clarifies the name and variant, then uses current available Shopify catalog information. It does not treat a price in an old post as a valid offer. This flow starts with an AI agent conversation in Messenger.

After a product answer, the customer should know the next step: reviewing the item, requesting a check or continuing through a supported purchase flow. A private message alone does not confirm an order. For customers arriving from another social network, there is also Shopify product advice through Instagram.

The post and catalog show different information

The agent uses the connected offering and distinguishes an old post from current information. It does not promise an old discount just because the customer mentions it.

The customer expects a reply to a public comment

This scenario covers a private Messenger conversation. Public comment handling must not be assumed merely because the messaging channel is connected.

An AI agent across channels

Shopify customers ask in more than one place

Questions about your Shopify range can arrive on Instagram, Messenger, WhatsApp, Viber, Telegram or your website. The AI agent uses the data it can access; the next purchase step depends on the channel and connection. A phone agent collects an enquiry for your team, not a completed Shopify checkout.

Each channel needs its own connection and verification. Catalog access does not automatically enable ordering or payment on every channel; available actions and confirmations depend on the configured flow.

FAQ

Frequently asked questions

Can the agent use a price from an old post?

Purchase information should be checked against the connected source. An old post does not confirm current price or availability.

Can a customer ask about a product from a Facebook post?

They can provide a name or link in the message. The agent identifies the item and uses available information from the connected Shopify catalog.

Does connecting Messenger include replies to every comment?

No. Private messages and public comments are different flows. This page covers customer assistance in a connected Messenger conversation.

Can the agent promise a discount mentioned by the customer?

Only if the discount is part of the approved, available offering. Otherwise, it requests a team check without promising a reduced price.

Does choosing an item in a message complete a purchase?

No. Catalog access does not automatically include purchasing. Supported purchase steps are checked separately for the connected Shopify flow and channel.

What context does the team have when taking over?

The conversation contains the customer's question, the identified item and the unresolved issue. An employee can continue from that context.

Want to validate this workflow with your own examples?

Tell us the channel, current process and first result you want to improve. We will suggest a focused rollout path and the cases your team should test.