TRANSFORMING THE TRAVEL INDUSTRY THROUGH AI-DRIVEN HOTEL BOOKING AND TOURISM INNOVATIONS
DOI:
https://doi.org/10.53555/mkdkzp84Keywords:
Artificial Intelligence, Smart Tourism, TCMS, Bayesian Logic regression, AI adoptionAbstract
The integration of artificial intelligence (AI) into hotel booking and tourism is fundamentally transforming the travel industry by enhancing personalization, operational efficiency, and data-driven decision-making. This research paper analyzes the evolution, benefits, and ethical challenges of AI-powered hotel booking systems within the broader context of smart tourism destination management. Drawing upon recent scholarly work, the paper examines the technical architecture, empirical evaluation, and stakeholder implications of these systems. The discussion further addresses the role of transparency, fairness, and data privacy, emphasizing the necessity of responsible AI adoption.
Ultimately, the paper argues that while AI-driven hotel booking systems offer substantial advantages for tourists, providers, and policymakers, their widespread and ethical deployment requires ongoing commitment to inclusivity, regulatory compliance, and user trust.
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