Case Study: Michelin achieves personalized travel recommendations with Qloo

Michelin and Qloo redefine travel with personalized recommendations

Michelin faced the challenge of scaling its legacy of curated excellence to meet the modern demand for instant, personalized digital recommendations. The company needed to move beyond generic, geography-based travel suggestions on its platforms, like Tablet Hotels, to offer unique, high-quality experiences tailored to each user's individual tastes.

Qloo's AI-powered personalization API provided the solution by analyzing cultural correlations to deliver tailored restaurant and hotel suggestions that reflected a user's unique profile. This partnership resulted in a 273% increase in booking volume for Michelin's Tablet Hotels during A/B testing, demonstrating the significant impact of Qloo's technology on customer engagement.

Michelin

Michael Davis

Chief Product Officer