IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Leveraging Artificial Intelligence for Customized Travel Experiences

Leveraging Artificial Intelligence for Customized Travel Experiences
View Sample PDF
Author(s): Dilip Kumar Patil (Department of Tourism and Hotel Management, Central University of Karnataka, Kalaburagi, India)and Amrik Singh (Lovely Professional University, India)
Copyright: 2026
Pages: 26
Source title: Harnessing Innovation for Personalized Tourism
Source Author(s)/Editor(s): Spyros Avdimiotis (International Hellenic University, Greece)
DOI: 10.4018/979-8-3373-2053-3.ch002

Purchase

View Leveraging Artificial Intelligence for Customized Travel Experiences on the publisher's website for pricing and purchasing information.

Abstract

This document explores the profound impact of Artificial Intelligence (AI) on the tourism industry, emphasizing its role in personalizing and enriching travel experiences. As technology continues to evolve, AI emerges as a pivotal force, reshaping how tourists engage with destinations and attractions. By leveraging predictive analytics and real-time data processing, AI addresses potential travel challenges, ensuring seamless and stress-free experiences. Furthermore, the integration of AI into guided tours and virtual reality (VR) reconstructions enhances cultural exploration, making historical narratives more interactive and personalized. This document delves into the multidimensional nature of tourism experiences, highlighting the significance of stakeholder involvement and the necessity for Destination Management Organizations (DMOs) to focus on the holistic travel experience. Through case studies, we illustrate how AI applications, from hotel recommendations to IoT-driven tourist suggestions, are revolutionizing customer engagement and satisfaction in the tourism sector.

Related Content

Muhammad Naeem Shahid, Mahreen Bashir, Muhammad Umar Islam, Zahid Mahmood. © 2027. 36 pages.
KM Ashifa, B. UmaDevi, L. Anitha, Palanivel Rathinasabapathi Velmurugan, R. Vettriselvan. © 2027. 26 pages.
Mirudhula K., Karthikeyan S.. © 2027. 36 pages.
Abid Ali, Muhammad Zahid, Muhammad Naeem Shahid, Sumaira Aslam. © 2027. 24 pages.
Priyakrushna Mohanty, Rashi Modi, Aaleyah Behera. © 2027. 40 pages.
R. N. Ravikumar, S. Aarthi. © 2027. 32 pages.
V. Lava Kumar, Santhapalli Gautami, E. Gnanaprasuna, N. Sathyanarayana, D. Srikanth Reddy. © 2027. 32 pages.
Body Bottom