Your AI advisor, here to make confident buying effortless
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Lucky Bike is one of Germany's largest bicycle retailers, with nearly 40 stores nationwide and a strong ecommerce presence. Known for expert in-store advice, quality products, and a customer-first ethos, the company set out to bring the same personal guidance to its online shoppers that they'd experience on the shop floor.
"Helping customers find the right bike has always been at the heart of what we do. We wanted our website to give customers the same clarity and confidence they get in-store, when they just know they've found the right bike."
Buying a bike is rarely an impulse decision. It's a high-consideration purchase where customers want to compare, touch, and test to be sure they're making the right choice. In-store, Lucky Bike's team walk shoppers through those decisions step by step. Online, the experience was different.
Shoppers faced hundreds of models, multiple frame types, and technical specs they may have never heard of. Many didn't know where to start, and without guidance, it was easy for shoppers to feel overwhelmed and abandon the site without buying.
But the challenge wasn't only about guiding customers. The company also wrestled with a complex product data challenge. Product data came from multiple brands and suppliers, each with different formats and levels of detail. Important details like terrain suitability or e-bike systems were incomplete or inconsistent, making online guidance, search and filtering less effective and requiring heavy manual cleanup.
Lucky Bike partnered with Zoovu to bring the same expert guidance customers get in-store to every digital touchpoint — built in three connected layers:
Lucky Bike's partnership with Zoovu began with the Bike Finder, a guided selling assistant built on Zoovu's platform. In just a few questions, it matches customers to bikes that fit their needs, cutting through complexity in a way that felt intuitive and even fun.
Early results were compelling: strong engagement and an 89% completion rate, continuously refined through numerous A/B tests.
Encouraged by the impact, Lucky Bike replaced their old search with Zoovu — bringing AI Search, guided selling, merchandising, and AI-driven data enrichment into one unified platform, removing the need for multiple disconnected tools.
Search now understands intent and returns relevant results, even with vague queries. Searching for "bike for city" instantly brings up urban commuter options, styled and ranked according to Lucky Bike's merchandising strategy. The same ranking, dynamic filters, and merchandising power every category listing page.
Zoovu's AI-driven data enrichment and semantic mapping transforms supplier data into clear, customer-friendly attributes. Details like "step-through frame" or "off-road capability" are now consistent across the entire catalog — improving filtering, search, and unlocking AI-ready product data for future innovation.
Zoovu also integrates seamlessly with Lucky Bike's OXID 7 web shop and backend systems, keeping product availability, click-and-collect options, and store-specific filtering accurate without duplicating effort.
"The Bike Finder confirmed for us that online guidance works. It felt like fitting puzzle pieces together. With Zoovu, every part of discovery works together — search, advice, merchandising, data — as one seamless customer journey."
"We now have full backend control over search and configuration. Custom styling, filter grouping — things we couldn't do before — are now in our hands. The easy integration and ability for our teams to manage configurations directly were key factors in choosing Zoovu."
Always looking to push the online experience forward, Lucky Bike became one of the first major retailers to launch Dynamic Questions — Zoovu's GenAI-powered capability that turns static product listings into interactive, contextual conversations.
When a shopper lands on a Search Results Page or Product Listing Page, Zoovu's AI generates and dynamically serves questions like "Where will you mostly be riding?" or "Do you prefer a step-through frame?". Instead of hunting through filters and long lists, customers get an experience that feels more like speaking with a store associate who knows what to ask and when.
The Lucky Bike team can tailor these AI-generated suggestions and decide which questions to display. Control stays with the team, while Zoovu's AI dynamically manages order and delivery based on user intent and context.
"We're now advising customers in real time, right where they are. When customers interact with a question, they're twice as likely to click through. They no longer get lost in long lists; they feel supported. And when they answer, the results instantly adapt."
Introducing Zoovu's AI search and merchandising, product finder, and dynamic questions delivered measurable results across every stage of the customer journey. In Zoovu-supported journeys, Lucky Bike increased conversion rate by 47.7% year over year and revenue by 17.5%, thanks to continuous optimizations.
Customers engage more deeply with the offering: CTR is 43% higher (up 7 percentage points versus earlier benchmarks), and product finders see +33% more interaction. Brick-and-mortar teams benefit too — sales associates now use Zoovu's search tools directly in-store to quickly find and present products, improving both the customer experience and internal efficiency.
"Zoovu is more than a vendor — they're a partner. We collaborate closely on innovation, and the team actively looks for ways to optimize our results. From fast feedback loops to proactively highlighting new opportunities — they're invested in our success."
Lucky Bike plans to extend AI experiences to accessories like helmets and gear, embed AI assistants directly into search, and further refine cross-selling strategies. The goal remains the same: to make buying a bike online just as personal, guided, and enjoyable as in the store.
Lucky Bike's success shows that unifying search, guided selling, and GenAI removes friction from complex purchase decisions.
With Zoovu, retailers can give every online shopper the confidence of expert in-store advice at scale.
If your customers face complex, high-consideration decisions, Lucky Bike's playbook is yours to follow.
See how 150 B2B product journeys reveal what’s broken in digital buying, and how leaders are fixing it.
