Your AI advisor, here to make confident buying effortless
Consumer · B2C
Business · B2B
Guided discovery for consumer products, from first click to checkout.
Configure complex catalogs and technical products with confidence.
Read the report
• Personalized Product Recommendations
Recommend the right product to customers in real time — per session, per shopper, per segment. Built on the same AI engine that powers your search, merchandising, and guided selling experiences. So every signal a shopper gives compounds across every surface.
Personalization Trusted by Industry Leaders
• The problem
89% of consumers struggle to find the right product online. Static "customers also bought" carousels don't help, because they ignore intent, cohort, and what a shopper is doing right now. Your lever isn't more recommendation slots. It's real-time predictions that adapts to the individual as they shop.
• How it works
01
Session behavior, zero-party data from finders and quizzes, and purchase and view history for known and anonymous shoppers.
02
Our deep-learning model ranks your catalog for each user against your business goal. From conversions, to AOV, CTR, or margin. A fast fallback model keeps predictions live with zero downtime.
03
The same prediction powers product pages, search results, category listings, cart, and email. Your customer's experience stays consistent wherever they go.
• Capabilities
Set your merchandising guardrails so AI ranks toward your goals, not away from them.
Personalize from the very first click. Predictions update as a shopper browses, so recommendations reflect intent in the moment — not last week's behavior.
Tailor to segments like returning, VIP, first-time, and cart-abandoners, or fully 1:1 with predictions unique to each shopper.
Train the recommendation engine to a business outcome — conversion rate, AOV, CTR, or margin. AI Boost and Bury weight products up or down so the model ranks toward what matters.
Roughly 30 metrics are reported per experience, with multivariate testing to prove what's working, surface by surface.
Zoovu personalizes across channels, categories, and regions — even for shoppers who never log in.
• Strategies
Personalize to a segment as you build a customer profile, and to the individual when the signals are there. Every cohort gets its own strategy.
+12%
Continue-where-you-left-off with history-aware ranking.
+16%
Re-surface saved items plus complementary picks.
+20%
Premium-first, higher-AOV ranking for known value.
+24%
Best-sellers plus guided discovery to learn intent fast.
• Data foundation
Better data in, better predictions out. "Garbage in, garbage out" is why enrichment comes first.
• Improve every touchpoint
The same real-time prediction shows up wherever your shopper is. No separate systems to stitch together.
"Bought with," "viewed with," and recently-viewed rows, ranked per shopper on the PDP.
Personalization boosts applied inside AI search and PLP ranking — not a bolt-on widget.
AI-model recommendations with full placement, trigger, and pinning control.
Complementary picks and abandonment-recovery predictions to lift AOV and recover sales.
Per-recipient product recommendations rendered right into email — each slot resolves a distinct product at send time.
The same predictions across your store, retailer sites, and in-store kiosks.
• Real results
Figures below are named-customer results from Zoovu-powered discovery and personalization experiences — not guarantees.
+200%
Conversion (Bike Finder)
Trek
6X
Average order value
B/S/H
+62%
Conversion rate
Canon
71%
Helpfulness · 3.38M+ chats
Zoe AI assistant
• Personalization in action
"Zoovu was the best fit for our requirements."
— Trek Bicycle
• Every kind of personalization
Search, product guidance, customization, recommendations, email — and everything in between. Every experience runs on one engine, so pick what you need and personalize each surface for every shopper.
AI search that ranks every result to a shopper's intent and live session signals.
Explore guided selling →
Question-led guided selling that steers each buyer to the right product.
Visual configurators so buyers personalize, visualize, and build exactly what they need.
Explore configurators →
1:1 product recommendations and compatible bundles across the whole journey.
Explore recommendations →
A GenAI advisor that personalizes picks and explains the "why" in real time.
Explore Zoe →
Per-recipient product picks that extend personalization straight into the inbox.
Explore lifecycle →
AI merchandising that tailors category and search listings per audience.
Explore merchandising →
Capture first-party signals that sharpen every personalized experience.
Explore buyer intelligence →
• Frequently asked questions
It's the practice of tailoring the shopping experience to each customer's preferences, behavior, and data — customized product recommendations, search results, and content that make every interaction relevant. Zoovu does this with real-time AI prediction rather than static rules.
A deep-learning model ranks your catalog for each user in real time, against a business goal like conversion or AOV, using session behavior, zero-party data, and purchase history. A fast fallback model keeps predictions live at all times, so there's no downtime.
Yes. Cookieless identity groups un-consented visitors into a shared cohort and personalizes from in-session behavior and zero-party answers. When a shopper becomes known, personalization upgrades automatically to 1:1 — no reliance on third-party cookies.
Cohort personalization tailors to a segment — returning, VIP, first-time, cart-abandoner. 1:1 personalization tailors to the individual, with predictions unique to that shopper. Zoovu lets you choose the right strategy per surface.
Yes. Use AI Boost and Bury to weight products or collections up or down, pin specific products (universally or per PDP), apply merchandising rules and filters, and set triggers by page or query. The AI ranks; you keep the guardrails.
Product pages, search and category/PLP, recommendation carousels, cart, email, and omnichannel surfaces including in-store kiosks — all powered by the same prediction engine.
Analytics report roughly 30 metrics — revenue, AOV, value per user, CTR, conversion, and more — per experience, with multivariate testing so you can see lift surface by surface.
Yes. The same engine personalizes consumer discovery and complex B2B buying — including configurable products, bundling, and large, technical catalogs — with product data enrichment underneath to keep it accurate.
Predict, personalize, and prove the lift across every surface — on one engine, with clean product data underneath.
We'll show you exactly what's breaking in their journey.
“Six years in, Zoovu is core to how we do product discovery.”
“We saw roughly a 30% conversion increase literally overnight.”
“We’ve exceeded buyer expectations and continue to see extraordinary ROI.”
