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Articles
Published: 2025-09-12

Harnessing AI for Sustainable Future Tourism Industry

Asansol Engineering College
JIS University, Kolkata, 700109 West Bengal, India
JIS University, Kolkata, 700109 West Bengal, India
Biman Maity, Bharatiya Vidya Bhavan Institute of Management Science, Kolkata, 700097 West Bengal, India
Asansol Engineering College (AEC), West Bengal, India
Artificial Intelligence Applications Digital Tourism Overview of Reviews Tour Planning Chatbot Tourism Industry Tourist Experience

Abstract

Almost every aspect of travel and tourism is presently impacted by artificial intelligence (AI), which can be found in a variety of applications such robotics, conversational systems, smart travel agents, customization and recommender systems, applications for language translation, forecasting and prediction systems, and systems for natural language processing and speech recognition. Through a thorough synthesis of the body of research on AI in tourism, this study seeks to highlight important themes, advantages, and disadvantages as well as provide insight into potential directions for future study, including the discovery of new fields within this framework.  Artificial Intelligence is evolving quickly. Enhancing operational effectiveness, enhancing customer service, customizing travel experiences, and promoting sustainability measures to create a variety of industries, including tourism.  Despite the fact that the amount of research on this subject is increasing, a thorough and organized review of the literature is still required in order to highlight the best applications of AI in this setting and to pinpoint areas that require more investigation. The study is based on review of previous study with the help of PRIZMA try to find out how AI creates impact to future sustainable tourism industry.

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How to Cite

Kanjilal, P., Karmakar, S., Ray, N., Maity, B., & Basu , S. (2025). Harnessing AI for Sustainable Future Tourism Industry. International Journal of Advances in Business and Management Research (IJABMR), 3(1), 22–34. https://doi.org/10.62674/ijabmr.2025.v3i01.003

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