Solutions · For Ecommerce Teams

A storefront that answers, not just lists

You run the store — the site, the stack, the number. Kinect adds the layer your platform doesn't have: an AI sales rep that resolves real shopper intent (“beach wedding, size 12, under $200”) into the right products, answers the questions your product pages can't, and does it in your brand's voice. The Kinect team sets up the integration and goes live the same day.

Every conversation also feeds back into how you run the store: what shoppers compare, where they hesitate, what they ask for that you don't carry. Merchandising signal, straight from the people on your site this week.

The problems this solves

Site search handles keywords. My shoppers ask questions.

Type “gift for my dad, into golf, under $100” into a search bar and you get noise. The rep takes the whole sentence — occasion, constraint, budget — asks one clarifying question if it needs to, and explains why each recommendation fits. That's the difference between a filter and a salesperson.

Our PDPs answer ten questions. Every shopper has an eleventh.

Sizing edge cases, material details, compatibility, “will this work for—”: when the page runs out of answers, shoppers leave to think about it. The rep answers on the page, from your catalog and policies, so the eleventh question doesn't cost you the sale. And adaptive product pages frame the same SKU for the different customer types buying it.

Merchandising decisions run on gut feel and last season's report.

Conversations are merchandising data: the products shoppers compare before choosing, the objections that stall a category, the things they ask for that you don't stock. Teams use it to fix collections, rewrite PDPs, and brief buys — signal you currently have no instrument for.

Every app promises lift and adds weight. My stack is already heavy.

Kinect is one integration, run by our team — we ingest the catalog, tune the voice, and maintain it, with no engineering cycles on your side. The widget loads asynchronously so your Core Web Vitals stay yours. And it deliberately doesn't replace search, helpdesk, or reviews — it routes to them.

Three different apps are claiming credit for the same order.

Kinect only counts an order when the shopper actually engaged — sent a message or clicked a recommendation — before buying. Widget presence never counts. Every store launches behind an A/B split with deterministic bucketing, reported against your own baseline, with definitions your analytics team can re-derive.

The numbers, stated honestly

3–6%

more revenue for brands with Kinect, across live stores, measured against their own baselines.

6–21%

of shoppers who engage go on to purchase — multiples of a typical site average.

1 day

from kickoff to live, with the Kinect team doing the onboarding.

Engagement figures describe engaged-shopper cohorts on live Kinect stores; the revenue range is measured against each store's own baseline, not store-wide causal lift. Full methodology: How we measure. Real stores: case studies.

Frequently asked questions

Does it replace our site search or helpdesk?

No — deliberately. Search, helpdesk, reviews, and email all stay. Kinect routes support questions to your helpdesk and focuses on the pre-purchase conversation none of those tools can hold. It's one integration run by the Kinect team, not a platform migration.

What does it do to site performance?

The widget loads asynchronously and stays out of your critical rendering path, so Core Web Vitals stay yours. Kinect works with all major ecommerce platforms — Shopify natively via theme extension, headless via hosted API and React SDK.

How will we know it's actually working?

Every store launches behind an A/B split: deterministic bucketing, a control group that never sees Kinect, revenue reported against your own baseline, and orders claimed only when the shopper engaged first. The full methodology — including what we refuse to claim — is public on our How We Measure page.

Put it on your store

Book a demo and we'll scope the integration on your stack — theme or headless, live the same day, measured against your baseline.