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AI Commerce

Conversational Commerce for Shopify: How It Works

Understand conversational commerce with Shopify examples, product discovery workflows, customer support and practical steps for getting started.

What is conversational commerce?

Conversational commerce means helping customers shop through a conversation. A shopper can ask questions, compare products and get help taking the next step instead of navigating every decision alone. The conversation might happen in storefront chat or a messaging channel. It can involve a person, an AI assistant or both. The defining feature is useful dialogue around a purchase, rather than simply placing a messaging button on a website.

A Shopify shopping example

A shopper looking for a gift describes the recipient, budget and occasion. The assistant identifies relevant products from the catalog, explains their differences and asks a follow-up question when the request is incomplete. The shopper chooses an available variant, reviews the cart and completes the purchase through Shopify checkout. A store selling clothing may receive fit questions; an electronics store may receive compatibility questions. In either case, the conversation needs product information that supports the answer.

How is it different from ordinary site search?

Site search is useful when customers know a product name or category. A conversation can help when they need to explain a situation, compare several options or ask whether a policy applies. Keep search, product descriptions and filters available: some shoppers prefer to browse independently. Conversational commerce should make information easier to access while preserving the usual purchase journey.

Benefits and limits for merchants

A useful conversation can clarify product differences and answer routine questions before a shopper leaves. It also gives your team examples of missing information in the catalog. These are opportunities to improve the experience, not a guaranteed sales increase. A vague description, incorrect variant or unsupported delivery promise can undermine the benefit. Escalate exceptions and uncertain answers to a person rather than treating every automated response as a success.

Start with one storefront workflow

Choose a common pre-purchase question and prepare the products, variants and policies needed to answer it. Configure the assistant, enable the storefront widget and test a recommendation, comparison, cart action and human handoff. Dejor supports these shopping tasks alongside customer support. WhatsApp order updates and storefront reviews are additional parts of its offering; setting up a storefront assistant does not automatically configure every channel.

Review the conversation and the next action

Sample conversations for accurate answers and useful follow-up questions. Check whether shoppers can open the product, select the correct variant and reach checkout. Record unanswered questions and how quickly your team picks up handoffs. Compare results over time while accounting for changes in traffic, promotions and product availability. Use the findings to improve the catalog and support process before expanding automation.

Put it into practice

Explore this workflow in Dejor.

See how shopify ai shopping agent fits into your store, including setup steps and common questions.