The Use of Artificial Intelligence in Logistics Management for Tourism
Abstract
This article investigates the integration of Artificial Intelligence (AI) in logistics management within the tourism industry, highlighting its potential to enhance operational efficiency, improve visitor experiences, and foster sustainable growth. The introduction discusses the growing significance of AI in tourism, driven by the sector's rapid expansion. The study examines various AI applications, including predictive analytics, route optimization, and personalization systems, which are transforming key logistical areas such as transportation, accommodation, and supply chain management. The methodology section outlines the use of case studies from Europe and Uzbekistan to demonstrate AI's impact on both economic outcomes and tourist satisfaction. Results reveal that AI technologies, such as AI-powered waste management systems and smart routing, contribute to optimizing resource use and reducing operational costs. The discussion delves into the challenges faced by the tourism sector in adopting AI, including high implementation costs, data privacy concerns, and the need for digital readiness. Additionally, it stresses the importance of a digital infrastructure to fully leverage AI’s capabilities in improving tourism logistics. The conclusion emphasizes the necessity of ongoing research and investment in digital strategies to ensure AI's continuous role in making tourism more efficient, sustainable, and resilient. By addressing both technological advancements and operational hurdles, this paper aims to contribute to the broader understanding of AI’s transformative role in the tourism logistics sector..
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