From Tradition to Innovation

Abstract

Artificial intelligence's ability to do traditionally human assignments at any time of day is driving its rising relevance in the hospitality sector. This implies that hotel owners may save a lot of money, eliminate human error, and offer the highest level of service. Its different perspectives on complicated issues have piqued academics' curiosity. AI-driven analytics and predictive modeling have optimized revenue management, enabling data-driven decisions and dynamic pricing strategies. Operational processes have been streamlined through AI, leading to improved efficiency and resource allocation. Furthermore, AI algorithms have leveraged guest data to deliver highly personalized experiences and customized offers, enhancing guest satisfaction and loyalty. In order to track the development of AI in the hotel industry, a bibliometric approach was used in this research. The study also seeks to pinpoint the crucial directions for further investigation. A systematic analysis of how artificial intelligence is changing the hotel business is offered as a perspective.