Case Study: Michelin boosts personalized travel bookings with Qloo

A Qloo Case Study

Preview of the Michelin Case Study

Michelin boosts bookings 273% with Qloo

Michelin, known for its prestigious guides and rigorous standards for hospitality excellence, faced the challenge of scaling its legacy of curation to meet modern demands for instant digital access and personalized service. To evolve without compromising its reputation for quality, Michelin partnered with vendor Qloo and its Taste AI to provide personalized recommendations that move beyond generic geography-based suggestions.

Qloo’s AI solution analyzed cultural correlations across various categories to provide Michelin with personalized recommendations for restaurants and hotels that aligned with user preferences. This integration, which included real-time data updates via Qloo's API, resulted in a measurable impact: during A/B testing, Michelin's Tablet Hotels platform saw a 273% increase in booking volume, demonstrating the power of AI-powered personalization.


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