The aim of the study is to consider the potential of introducing Artificial Intelligence (AI) and dynamic pricing into the hotel industry in Uzbekistan and present a methodological approach to assessing the contribution of these innovations to the revenue and satisfaction of guests. The Study design involves testing a quantitative model where AI capabilities, dynamic pricing success, and customer perceptions are tested using simulated survey data from hotel managers and tourists. The simulated results show that although AI-based pricing could help to boost revenue and bookings, it relies on customers’ feeling that prices are fair. Applications and limitations: The obvious limitation is that of using simulated data; field experiments are the next step required. This framework allows regional hoteliers to become aware of the risks and needs that come with algorithmic pricing. Practical implications: Uzbekistan hotels need to get clean operational data and have clear pricing policies before giving up on the established seasonal rates for the AI systems. Social implications: Limited hotel inventory can be used to its fullest potential during the peak tourist season by employing better pricing strategies which can help increase economic growth in the area. Originality: Transition economies are excluded from most revenue management research. This study explores the interaction between algorithmic pricing and the unique cultural and market contexts in Central Asia.
Publication Date: 2026-06-21