How Bikero Increased Revenue by 8.2% with Raventic’s Semantic Search and AI-Powered Recommendations

Bikero is a leading Czech retailer of bicycles and cycling gear, combining a strong e-commerce presence with brick-and-mortar stores across the Czech Republic and Slovakia. The company offers premium brands while placing a strong emphasis on customer service – from test rides to professional maintenance. Bikero operates three online stores: bikero.cz, bikero.sk, and cycology.cz.

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The Challenge: Visitor Drop-Off and Time-Consuming Manual Management

Bikero faced significant limitations in both product search and recommendation:

• Search function worked only via exact full-text matches – it didn’t understand synonyms, parameters, colors, or query context

• High visitor drop-off rate – customers often left the site without purchasing because they couldn’t find the product they were looking for

• Manual pairing of similar products – time-consuming and ineffective

• Irrelevant cross-sell recommendations – not tailored to cart content, seasonality, or customer context

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The Raventic Solution: Context-Aware Search and Automated Product Discovery

Bikero implemented Raventic’s comprehensive AI-powered product discovery system:

• Semantic search – understands customer intent, synonyms, color queries, parameters, and visual similarity

• Automated similar product recommendations – based on visual and textual relevance, eliminating the need for manual setup

• Smart cross-sell recommendations – dynamically adjusted based on cart content, seasonality, and shopping context

• Automated content management – Raventic handles recommendations across all e-shops without the need for manual curation

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Implementation Process

• All modules were deployed within 24 hours

• Followed by front-end adjustments and testing of search and recommendation carousels

• The final solution went live within days – with zero load on Bikero’s development team

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Results: Measurable Impact on Revenue

In the first few weeks after implementing Raventic’s solution, Bikero saw clear and measurable results:

+8.2%

revenue growth within just a few weeks

11.8%

CTR on similar product recommendations — a significant improvement over the previous manual system

44%

of total revenue now flows through semantic search

63%

of total revenues is generated by customers actively using Raventic-powered features

Achieved without any manual content management or setup.

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What Bikero Says

“Before implementing Raventic, we were using the default search function provided by our e-commerce platform, which only worked with exact keyword matches. It couldn’t handle synonyms, colors, or product parameters – often leaving customers without relevant results. We also had to manually configure similar and complementary product recommendations, which took several hours each month. The main reason we decided to change was the high number of users leaving the site after failing to find the product they needed. We knew that search performance directly affects revenue, and we wanted to finally unlock that untapped potential.” 

Roman, E-commerce Team, Bikero.cz

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A Better Shopping Experience - Powered by Raventic

Thanks to Raventic’s semantic search and intelligent product recommendations, Bikero.cz significantly improved the shopping experience, reduced user drop-off, and automated previously manual processes.

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