AI Chatbot for VTEX Stores

Built for Enterprise Catalogs and Enterprise Volume

VTEX powers some of the largest retail operations in the world — brands selling across departments, regions, and sales channels from a single composable platform. That scale is exactly where conventional support breaks down. A storefront with tens of thousands of SKUs generates a flood of pre-sale and post-sale questions, and no realistically sized team can answer all of them quickly enough. An AI chatbot is purpose-built for this gap: it draws on everything already published in your catalog and policy pages to answer at the volume an enterprise store actually receives.

Because the assistant retrieves answers from your indexed content rather than relying on canned scripts, it stays accurate even as the catalog grows and changes. New collections, seasonal lines, and updated policies are picked up when the store is re-crawled, so the answers a shopper sees reflect what is genuinely on your VTEX storefront today — not a static FAQ that drifts out of date the moment a buyer refreshes the assortment.

Serving B2B and B2C in the Same Storefront

Many VTEX merchants run B2B and B2C from one platform, and the two audiences ask very different things. A consumer wants to know delivery windows, return rights, and whether they can pay in installments. A business buyer wants quantity pricing, minimum order rules, tax handling, and account terms. The chatbot handles both, pulling consumer-facing details from your product and policy pages while answering wholesale questions from the price lists and trade documents you upload to its knowledge base.

This matters because mixed-audience stores often force shoppers into the wrong support path. Instead, every visitor gets a relevant answer in the same conversation, and the questions that genuinely need a human — a negotiated contract, a complex logistics request — are surfaced clearly rather than buried under routine queries your agents have answered a thousand times.

Consistency Across Large Teams and Multiple Brands

When support is spread across a large team, several regions, or a portfolio of brands under one VTEX account, answer quality tends to vary by whoever happens to pick up the conversation. The AI removes that inconsistency. You define the rules once — how to phrase return policy, when to mention financing, which claims are off-limits — and the assistant applies them identically on every storefront, every shift, in every language.

Each store you operate gets its own knowledge base and its own configuration, so a premium brand and a value brand can sound completely different while both staying on-message. For organizations that have invested heavily in brand voice and compliance, that controlled consistency is often as valuable as the ticket deflection itself.

Holding Up Under Peak Traffic

Enterprise retail lives and dies by peak events — regional sale days, holiday campaigns, flash promotions that send traffic far above baseline. Those are precisely the moments when support queues collapse and abandoned-cart rates climb. An AI assistant has no queue. It answers the thousandth shopper as instantly as the first, absorbing the surge so your human team is not buried and your conversion rate does not crater when demand peaks.

Because the widget loads asynchronously and weighs under 50KB, it adds this capacity without dragging on the storefront performance that VTEX teams work hard to protect. Shoppers get instant help during the busiest hours of your year while Core Web Vitals stay intact.

A Light Deployment for a Heavy Platform

VTEX is a serious platform, but adding the assistant does not require a serious project. Your team adds one snippet through the storefront layout or your tag manager, points Asyntai at your store URL so it can learn the catalog, and publishes. There is no replatforming, no integration sprint, and no new infrastructure to maintain — the kind of low-risk addition that gets approved quickly even in a large organization.

From there, you refine the assistant entirely through the dashboard: upload spec sheets and trade documents, tune its tone, and add rules that govern how it handles specific topics. The chat logs it produces double as a continuous voice-of-customer feed, showing your merchandising and content teams exactly where the catalog leaves shoppers with unanswered questions — insight that pays off long after the initial install.