The Impact of Artificial Intelligence on Dynamic Pricing Strategies in Tourism and Travel E-Commerce: Insights from Uzbekistan and Global Markets

This article examines the revolutionary role of Artificial Intelligence (AI) in shaping dynamic pricing in the travel and tourism e-commerce sector. Based on the emerging tourism sector of Uzbekistan and global market leaders the researchers have used a mixed-methods empirical strategy to ascertain the performance results and driving factors of AI-based dynamic pricing systems. In the research the data has been blended for Uzbekistan's hotel industry with international data for Europe and Southeast Asia to assess the contribution of AI tools, such as machine-learning-based demand forecasting and real-time price optimization algorithms, to revenue management, customer satisfaction, and competitive positioning. The findings show that AI-based dynamic pricing yields a statistically significant increase in average revenue per available room (RevPAR), airfare margins, and online conversion rates. This article contributes to the knowledge in smart tourism development by offering recommendations for policymakers, platform providers, and hospitality managers for the strategic implementation and regulation of AI-based pricing systems.

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