ARTIFICIAL INTELLIGENCE AS A TOOL FOR IMPROVING OPERATIONAL EFFICIENCY IN TOURISM SERVICES

Abstract

The rapid integration of artificial intelligence (AI) into service industries has significantly transformed operational processes, particularly in tourism, where efficiency depends on timely information processing, resource coordination, and service responsiveness. This study examines the role of artificial intelligence as a tool for improving operational efficiency in tourism services, with a contextual focus on emerging tourism destinations. The research applies a qualitative-analytical approach based on secondary data, international reports, and recent academic literature. The findings indicate that AI technologies—such as intelligent booking systems, predictive analytics, chatbots, demand forecasting algorithms, and automated service management platforms—contribute to operational optimization by reducing transaction costs, minimizing service delays, enhancing capacity utilization, and supporting data-driven decision-making. However, the effectiveness of AI adoption depends on digital infrastructure, workforce competence, and institutional readiness. The study highlights that AI should be viewed not merely as an innovation trend but as a strategic efficiency-enhancing mechanism in tourism management. The results provide practical implications for tourism enterprises and policymakers aiming to strengthen operational performance through AI integration.