AI product recommendations for ecommerce
"Bestsellers" is not a recommendation. This is.
"Bestsellers" and "frequently bought together" are simply guesses about what your visitor wants. Bluebarry works out a handpicked shortlist per shopper from quiz answers, browsing and order history, on every page you put it.
Book a 15 min demoFree for 14 days · live on your store in minutes · margin-aware by design
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Click an answer. Click it again for the generic version.
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A recommendation only earns its space if it knows who is looking. Ours reads the profile first and then picks: one honest shortlist, not another wall of options.
Features
Contents and products change per visitor
Not just which products appear, but what the block says about them. The same shelf reads differently for a first-time gifter and a returning regular, because both the selection and the wording come from the profile behind the session.
Reuse your quiz recommendations in the widget
If you already run a product finder, its matching logic feeds these blocks directly. The answers a shopper gave once keep paying off on every page they visit afterwards, with no second setup.
Learn about product finders →A widget design for every brand
The AI builds the block in your own fonts, colours, spacing and card style, so it reads as part of the storefront rather than a bolted-on widget. Adjust anything it gets wrong in the visual editor.
No manual mapping, per product or ever
You do not pair SKUs by hand or maintain a rules sheet. The engine reads your live feed and works out what belongs together, then keeps doing it as products come and go.
Wired into everything you already run.
Shopify, Magento, WooCommerce and Lightspeed, plus Channable for feeds and Klaviyo, Omnisend and ActiveCampaign for email. One profile, read by all of them.
See all integrations
Recommendation FAQ
Will this work with a very large catalog?⌄⌃
It was built for large catalogs. 50,000+ SKUs with every variant and attribute matched automatically, because that is exactly where hand-curated blocks fall apart.
Do recommendations update when my catalog changes?⌄⌃
Yes. Your feed syncs live, so new products join the matching on their own and products that go out of stock drop out of it.
Can I use recommendations without running a quiz?⌄⌃
Yes. Behaviour and order history build a usable profile on their own. Add the quiz later and the same profile gets a lot sharper, because shoppers tell you things browsing never reveals.
Can I protect my margins?⌄⌃
Yes. Set floors and rules per product or category and the engine only recommends inside them, so nothing gets suggested that you would rather not sell.
Will this hurt my Core Web Vitals?⌄⌃
No. Recommendation blocks load async and stay out of the critical rendering path.
What if I need help?⌄⌃
We answer our own phone. Support is the team that built it, not a ticket queue.
Connect your store today.
Give better recommendations tomorrow.
Book a 15 minute call and we'll show you personal recommendations running against your own catalog. If your carousels still show bestsellers to everyone, this is the quickest way to find out what that costs you.
15 minutes · no obligation · we use your own catalog