Ever since 1889, the Michelin Guide has been the gold standard for gastronomic discovery and travel planning. For over a century, the guide’s inspectors have rigorously assessed different locations worldwide to maintain high-quality standards that have become a cornerstone of Michelin’s brand values. However, maintaining this esteemed reputation is not just about preserving traditions but continuously evolving to meet the changing demands of the contemporary traveler.
Enter Michael Davis, Chief Product Officer of Michelin Experiences, the man heralding a new era and steering the digitization of the celebrated Michelin Guide. Davis recognized the potency of artificial intelligence (AI) in revolutionizing content generation and personalization, essentially bringing the Michelin Guide from the bookshelf to users’ smartphones.
AI technology has been a game-changer in many industries, and the travel industry is no exception. More than just digitizing, Davis aimed to reinvent the Michelin Guide as a dynamic and comprehensive lifestyle platform that serves tailored suggestions to its users. This gave birth to the need for an advanced AI system that could predict and align with the unique preferences of each user while resonating with Michelin’s legacy of distinction.
This is where Qloo comes into the picture, a state-of-the-art AI system that predicts taste for any target audience by recognizing patterns within vast cultural domains. Qloo’s unique approach of drawing correlations from a multitude of cultural aspects equips Michelin Guide with an engine that churns out refined recommendations from instant predictions about a user’s preferences. It does so with precision even when provided with minimal user information, courtesy of the extensive database it leverages. This balance of speed and accuracy distinguishes Michelin’s integration of AI from other travel platforms that lean heavily on popular opinions to tailor their offerings.
Michelin applies Qloo’s technology primarily to suggest activities for its registered users based on their location and accommodations. For instance, a user staying in a boutique hotel in Paris with a fondness for French Impressionism could receive a suggestion to visit the Musée d’Orsay, along with highly-rated restaurants in the vicinity, consecutively refining the user’s travel experiences.
What sets Michelin’s model apart is how it challenges the established systems. Unlike the algorithms utilized by its counterparts, such as Google, that rely on trends and what’s popular, Michelin’s approach is deeply rooted in the user’s idiosyncratic likes and dislikes. This personalized touch enriches the overall travel experience of their users while adhering to Michelin’s authentic, high-quality mandate.
With the integration of AI into the Michelin Guide, the brand retains its eminent standards while embracing the wave of digital transformation. This combination of the Michelin Guide’s enduring values and AI’s capabilities is a significant leap forward within the travel industry, shaping a promising future for the blend of technology and tailored cultural experiences.
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I honestly can't wait to work in many more projects together!
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