For BigCommerce Stores

The shopper comparing two of your products gave up because no one was there to ask.

A BigCommerce AI assistant answers the questions shoppers ask before they commit — stock, specs, shipping, and the real difference between two similar products — so a comparison shopper doesn't stall on your site and buy from whoever answered. Maya does that on your store by voice or text, 24/7, in the shopper's own language, reading your live BigCommerce catalogue so its answers are accurate. It installs from your control panel.

Last updated 2026-07-16

Where a BigCommerce chat app stops

On a larger catalogue, the hardest moment isn't finding a product — it's choosing between two. A standard chat app can't help there: it waits for a typed question and returns a canned reply or a link. So the shopper weighing Model A against Model B, or the B2B buyer checking whether you can meet a spec, gives up on the silence and takes the decision elsewhere.

Maya begins at exactly that moment. "What's the difference between these two?" gets a real, grounded answer, and "which suits a workshop over a home?" gets a recommendation with a reason. A chat app is a product pamphlet that talks back a little; Maya is the salesperson who walks the aisle with the buyer, weighs the options with them, and closes — then captures the ones who don't.

What Maya does on a BigCommerce store

It refines the decision conversationally, from your live catalogue"I need something for a workshop, not a home · under €400 · that handles daily use" — Maya narrows it live from your real products, holding every constraint as the request evolves. The comparison shopper who'd have stalled actually reaches a choice.

It explains WHY a product fits — it doesn't just list options"this one suits you because it has the capacity you asked for and it's rated for daily use" — grounded in your real product data. That's the reassurance that turns a hesitating buyer into an order, the way a knowledgeable salesperson would.

It sets itself up from your catalogue — you point it, it configures itselfMaya reads your BigCommerce products, categories and pages and configures itself — no flows, no FAQ. You review what it learned and correct anything in a sentence. Live in about ten minutes, even on a large catalogue.

It greets every shopper by voice or text — in their own language, from the first wordthe shopper can talk or type, and Maya opens in their language. For cross-border and B2B buyers, being met in their own words from the first moment is what keeps them on the page instead of bouncing.

It drives the store hands-free to the exact productthe shopper describes what they need and Maya scrolls and navigates there for them — no filter-wrestling, no mouse — up until they add to cart or check out.

It captures the shopper with the meaning, not just an emailinstead of "Name / Email," you get "comparing the 20L and 30L models for a commercial kitchen, needs delivery within two weeks, asked about bulk pricing" — a lead your sales team can close, especially on higher-value B2B orders.

It tells you what shoppers kept asking for that you don't listthe spec buyers keep requesting, the variant they expected — surfaced from your own traffic, so you know what to add.

What happens when Maya doesn't know the answer?

This is the question every store owner asks, and it's where Maya earns trust — especially on B2B orders where a wrong answer is expensive. Maya checks its answers against your approved store information before it responds. When it can't verify something — a spec you never listed, a lead time it doesn't have — it says so instead of guessing, offers the shopper the right next step, and flags the question for you. You mark it correctly handled, or teach Maya the answer in one sentence.

What that means for you: Maya never gets rewarded for confidently inventing things, so it won't promise a spec you can't meet or a delivery you can't hit — the kind of made-up answer that costs a return or a broken B2B relationship. Honest limit: Maya answers from what your catalogue and pages actually say; anything that isn't there gets flagged to you rather than invented.

How does Maya install on BigCommerce?

As a single-click app from your BigCommerce control panel: connect it and it injects the widget and syncs your catalogue automatically — live in about ten minutes, no theme editing. The install completes on a branded callback screen inside BigCommerce (not a blank page), and Maya keeps reading your catalogue as it changes so answers stay current.

Is it a chatbot, or does it actually talk?

Both. Shoppers can type to Maya or speak and be answered out loud — same assistant, same actions. Unlike a text-only BigCommerce chat app, Maya acts: it reads your real catalogue, refines the choice conversationally, navigates the shopper to the right product, and captures the lead. Voice is a genuine advantage on mobile, where most store traffic is.

How much does it cost?

Priced by plan, with a free trial to test it on your own store first. Predictable regardless of traffic — unlike per-conversation tools whose bills climb as you grow. On a larger or B2B catalogue, one recovered order tends to cover it many times over.

Try it on your own store — Maya answers live on our homepage. See also Maya for Shopify, Maya for WooCommerce and Maya's plans.