Hyatt uses AI and machine learning to analyze guest data collected through the World of Hyatt loyalty program — including stay history, stated preferences, and behavioral signals — to deliver personalized hotel recommendations, offers, and experiences across its digital channels and on-property.

Confirmed across multiple Hyatt data leadership interviews, including statements from Vice President of Data and Analytics Raymond Boyle and Global Director of Data David Mayer, Hyatt collects guest data from World of Hyatt enrollment, stays, and digital interactions. Machine learning models analyze this data to understand individual preferences — such as preferred room type, dietary restrictions, and brand affinity — and surface personalized room options, rates, experiences, and add-ons (e.g., early check-in, breakfast). Boyle described this as part of Hyatt's explicit data strategy to personalize the guest journey, including the early-booking phase. The World of Hyatt loyalty program is described as the primary data collection mechanism enabling this personalization at scale. The specific AI platforms or models used for personalization are not identified in available sources beyond the general use of machine learning.