Abstract
The rapid advancement of digital technologies has significantly reshaped the global tourism industry, creating new opportunities for efficiency and competitiveness. In Uzbekistan, despite notable growth in tourism, pricing strategies remain largely traditional and lack adaptability to dynamic market conditions. This study aims to develop an AI-based smart pricing model to enhance economic efficiency in the tourism sector of Uzbekistan. The research employs a conceptual modeling approach supported by elements of demand analysis, incorporating key determinants such as price, seasonality, service quality, customer reviews, and income levels. The proposed model utilizes artificial intelligence to dynamically adjust prices based on real-time data and market trends. The results indicate that the implementation of AI-driven pricing can improve revenue management, optimize resource utilization, and increase customer satisfaction. The novelty of this study lies in adapting advanced digital pricing mechanisms specifically to the context of Uzbekistan’s emerging tourism market. The findings provide practical implications for policymakers and tourism businesses in accelerating digital transformation.