AI-Driven Personalization in Food and Beverage Service: A Comparative Study of Hotels in India’s Leading Business and Leisure Destinations

Abstract

Artificial intelligence (AI) has brought about a sea change in the hotel industry, particularly in the food and beverage (F&B) sector, where personalised consumer delight and operational effectiveness are increasingly dependent upon. This paper investigates the possibilities of artificial intelligence (AI) driven customisation to improve guest experiences and solve operational challenges in hotels situated in important corporate and recreational areas all throughout India. It contrasts the approaches leisure hotels concentrate on generating more immersive dining experiences with the ways in which business hotels use artificial intelligence to optimise operations and offer speedier service. Using techniques including recommendation systems, predictive analytics, and customer sentiment research, artificial intelligence (AI) offers simplified operations, demand estimates, and customised menu ideas. AI-driven customisation helps with enhancing customer happiness, saving money, and improving staff productivity—all while addressing dietary choices, cultural nuances, and different guest expectations—as this study shows. The paper next addresses how artificial intelligence affects three other areas for Indian hotels: ROI computation, technology adoption, and budgetary restrictions. Based on a mixed-method approach combining primary data acquired via interviews and surveys with secondary data extracted from trade publications, the results provide hotel management with insightful analysis. This study comes to the conclusion that artificial intelligence could drastically change the way food and beverage firms offer their products, so this sector welcomes technology developments as a way to keep ahead of the competition and satisfy evolving needs of its consumers.