Research on the Application of AI in Hotel Management under Digital Transformation: A Case Study of Intelligent Customer Service and Customer Experience Optimization
DOI:
https://doi.org/10.54097/maa42n63Keywords:
AI, Hotel Management, Tourism Management, Case StudyAbstract
With the rapid development of The digital transformation in hotel industry, this field is undergoing rapid digitization driven by AI, and big data. The integration of artificial intelligence (AI) into hotel management has become a cornerstone of digital transformation, reshaping operational efficiency, customer satisfaction, and labor costs. This paper explores the practical applications of AI technologies—such as chat-bots, intelligent recommendation systems, and voice-controlled assistants—in hotel booking, customer service, and personalized experiences. Through case studies and empirical analysis, it evaluates the challenges of AI implementation, including data privacy concerns, private information disclosure and technological adaptability, while these proposing solutions such as human-machine collaboration and phased digital strategies. The study incorporates comparative analyses of AI adoption across geographies, ethical debates on automation, and predictive models for future AI-driven hospitality ecosystems. The findings highlight that AI-driven innovations can enhance service quality but require balanced integration with human centre practices to achieve sustainable growth in the hospitality industry.
Downloads
References
[1] Kuang Yuan match, Peng Yun, Li Shanshan. Multiple logic, basic characteristics and realization path of China's agricultural and rural modernization in the New Era [J]. Rural Economy in China, 2024 (12): 2-22.
[2] Chen Jiaxin, Shen Shizhi, Wang Pengfei. Rural tourism embedded in rural revitalization: Problem perspective, path construction and cracking ideas [J]. Tax and Economy, 2025 (01): 60-67.
[3] China’s Mainland inevitable Tourism Planning. 2024 China Rural Tourism Development Report [EB / OL]. (2023-11-06) [2025-01-3]. https://mp.weixin.qq.com/s/oa-jnCsPSg_lTGb7diCnAg.
[4] Hu Xiangju. Analysis on the development of rural smart tourism in Changsha [J]. Journal of Changsha University, 2019 (03): 15-18.
[5] Chen Xi, Zhang Qian, Zhang Ruting, Sheng Yunqi, Shu Xinyi. Optimization strategy of rural tourism talents under the Rural Revitalization Strategy: Take Hunan Province as an example [J]. Research on Agricultural Modernization, 2024 (1): 71-78.
[6] Liu Peilin, Fan Xianghua, Wang Hui, etc. Rooted in rural digital intelligence: exploration and practice of cultivating high-quality tourism talents committed to rural revitalization [J]. Chinese Journal of Multimedia and Network Teaching (journal), 2024 (08): 177-180.
[7] Zhang Zhile, Xu Xia. Training of rural tourism talents under the background of urban and rural coordination [J]. Anhui Agricultural Science, 2011 (14): 8506-8507,8669.
[8] Li Lijuan. Inheritance and protection of "rural nature" in rural tourism [J]. Social Scientist, 2021 (05): 57-62.
[9] Ding Ling, Niu Yuping. Comprehensively promote the revitalization of rural education: value implication, problem review and path countermeasures [J]. Journal of Hunan First Normal University, 2024, (01): 45-51.
[10] www.tcl.com. The official website.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Academic Journal of Management and Social Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.