“We have been captivated by Kleio’s vision to redefine customer experience with Conversational AI,” said David Dayan, CEO of Showroomprivé.com. “Their platform unlocks new possibilities for elevated customer experiences with hyper-personalization, and significant sales growth for Showroomprivé,” added Nicolas Gerbal, Director Travel & Leisure at Showroomprivé.com.

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Within the high-velocity world of Showroomprivé, the travel section faced a fundamental data problem. A constantly shifting catalog of time-limited offers — spanning flights, hotels, and curated packages — was too vast and too dynamic for conventional search to navigate effectively. Shoppers overwhelmed by the volume of choices would stall precisely at the moment they were most ready to buy, creating costly drop-offs at the most critical point in the funnel.

Kleio solved the data problem first. By deploying its Knowledge Engine — a purpose-built infrastructure that unifies real-time inventory, pricing constraints, and product relationships into a single reasoning layer — Kleio transformed Showroomprivé’s flash catalog into a living, intelligent experience. Rather than clicking through static filters, shoppers engage with an Agentic Commerce interface that understands intent, resolves complexity in real time, and surfaces exactly the right offer at exactly the right moment.

Deployed within weeks across the travel section, Kleio’s Agentic Orchestration layer manages the full purchase journey end to end: qualifying intent through natural language, answering product-level queries with expert precision, and guiding prospects smoothly through to checkout. The deployment eliminated the friction point where travelers previously stalled — turning what had been a drop-off zone into one of the platform’s strongest converting touchpoints.

The results spoke directly to the bottom line: a significant surge in product page views as users felt confident enough to explore the full range of options, and a 20% increase in online conversions — proof that solving the data problem first is the fastest path to revenue in complex, catalog-driven commerce.