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

Artificial Intelligence in Tourism

Artificial Intelligence in Tourism
View Sample PDF
Author(s): Yunus Topsakal (Malatya Turgut Ozal University, Turkey)
Copyright: 2027
Pages: 17
Source title: Encyclopedia of Modern Artificial Intelligence
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Founding Editor-in-Chief, Information Resources Management Journal (IRMJ), USA)
DOI: 10.4018/406752

Purchase

View Artificial Intelligence in Tourism on the publisher's website for pricing and purchasing information.

Abstract

In the ever-evolving technological landscape of today, the tourism industry is undergoing a significant transformation, with artificial intelligence (AI) playing a crucial role in driving this change. AI encompasses a wide range of technologies that are employed within the realm of tourism to enhance the travel experience, improve operational efficiency, and elevate customer satisfaction. Its applications span various domains within the tourism sector. AI-powered travel agents streamline the travel planning process by providing personalized recommendations based on user preferences. These agents suggest the most suitable travel routes and optimize the reservation process. Digital guides, utilizing AI, have been developed to offer guidance services to tourists during their travels. Additionally, AI and machine learning algorithms are utilized by tourism businesses for demand forecasting.

Related Content

Frederic Andres. © 2027. 14 pages.
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar. © 2027. 27 pages.
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran. © 2027. 24 pages.
Swetha Margaret T. A., Renuka Devi D.. © 2027. 31 pages.
Maurice Saluschke, Michael Schulz. © 2027. 30 pages.
Mirjam Sepesy Maučec, Gregor Donaj. © 2027. 16 pages.
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo. © 2027. 21 pages.
Body Bottom