The customer mixes several variants in one message
The agent clarifies which model, size and quantity belong to each item. It does not treat an ambiguous list as a completed order.
Online stores
An AI agent helps customers choose a Shopify product and understand purchase terms on WhatsApp, using the steps supported by the connection.
Explore the AI agent on other channelsThe customer context
The customer may know a product but still need to compare size or color. Telp uses the connected source and keeps the purchase boundary explicit.
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.
The customer starts a WhatsApp conversation.
Telp checks catalog details.
The verified connection determines the continuation to purchase.
A WhatsApp customer may request several products, different sizes or a combination of accessories. The AI agent separates the items and asks questions that prevent an incorrect choice. Bundle explanations use the available offering within the connected WhatsApp conversation.
Agreement about products is not confirmation of payment. Shopify catalog reading, supported purchase actions and WhatsApp communication rules are checked separately. The customer should review selected items and complete the appropriate purchase flow, as described in the Shopify integration with a Telp AI agent.
The agent clarifies which model, size and quantity belong to each item. It does not treat an ambiguous list as a completed order.
A statement in a message is not proof of payment. Confirmation relies on an available authorized flow or a team check, not the agent's assumption.
An AI agent across channels
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
No. The customer still needs to complete the supported purchase and payment steps.
It can clarify items and explain bundles listed in the catalog. It does not create a new commercial offer or discount without approved rules.
No. A link or an item selection confirms neither an order nor payment. The customer must complete the appropriate steps in a supported flow.
It can use the available bundle description and price. If the source does not list the accessory as included, the agent requests a check rather than promising it.
Yes. Channel connection, communication rules and any costs are checked separately from the Shopify catalog and purchase flow.
Yes, with the appropriate connection for each channel. That does not mean every purchase action is available everywhere.
Explore related pages
Connections
An AI agent checks Shopify products and options from a connected source. Checkout needs separate authorization and a supported channel; the public catalog is read-only.
Channels
An AI agent replies to customers in business WhatsApp conversations, collects the required details and supports follow-up by a person.
Online stores
An AI agent in website chat checks Shopify products, explains the available information and helps customers choose a variant before continuing their purchase.
Online stores
An AI agent connects a private Messenger question to a specific Shopify product and variant, with the purchase flow subject to the available connection.
Online stores
An AI agent in your Telegram bot checks Shopify products and their attributes, then explains the supported next step in the store.
Online stores
An AI agent clarifies what Shopify customers need by voice and checks the catalog. Customers review products and continue supported purchase steps on the website.
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.