Personalised AI book advisor for Boekenbalie increases customer conversion
A sophisticated AI agent that understands reader preferences to navigate a massive second-hand book inventory.

Boekenbalie
Boekenbalie, a leading second-hand book retailer, wanted to revolutionise how customers discover their next read. With a massive and constantly changing inventory, they needed a way to provide hyper-personalised recommendations that go beyond simple category filters to mimic the expertise of a seasoned librarian.
The primary difficulty lay in the sheer volume of unique titles and the nuanced nature of reader preferences. Traditional search engines failed to capture the 'vibe' or specific thematic elements a user might be looking for. Furthermore, recommendations needed to be strictly limited to items currently in stock to avoid customer frustration and ensure immediate conversion opportunities.
What SevenLab built
SevenLab developed a custom AI agent using RAG (Retrieval-Augmented Generation) technology to index Boekenbalie's real-time inventory. The agent processes natural language queries, allowing users to describe what they enjoy in detail, and then matches those sentiments against the available stock to provide instant, shoppable suggestions.
Semantic inventory search
Matches user intent and thematic descriptions with book metadata rather than just keywords.
Real-time stock integration
Ensures the AI agent only recommends titles that are currently available for purchase.
Conversational interface
A user-friendly chat experience that asks clarifying questions to narrow down the perfect book.
Conversion optimisation
Directly links recommended titles to the shopping basket to streamline the path to purchase.
Measurable business impact
The AI advisor has transformed the browsing experience from a manual search into an interactive discovery journey. Customers are finding niche titles they otherwise would have missed, leading to a significant uplift in sales and a measurable decrease in site abandonment rates.
The AI agent has effectively digitised the expertise of a specialist bookseller. Our customers are delighted by how well the system understands their tastes, which is reflected directly in our increased sales figures and positive feedback.
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