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Artificial Intelligence in Tourism
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Author(s): M. Soundarya (Velammal College of Engineering and Technology, India), R. Nancy Deborah (Velammal College of Engineering and Technology, India), G. Sivakarthi (Velammal College of Engineering and Technology, India)and A. Vinora (Velammal College of Engineering and Technology, India)
Copyright: 2025
Pages: 24
Source title:
Advancing Smart Tourism Through Analytics
Source Author(s)/Editor(s): Bindi Varghese (Christ University, India)and Sandhya H. (Christ University, India)
DOI: 10.4018/979-8-3693-3715-8.ch003
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Abstract
Travelling is a well-liked hobby that combines leisure time with trip planning work. Tourism is defined by the World Tourism Organization as travel and lodging for at least a day that is spent outside of one's normal surroundings for pleasure, business, or other reasons. Attractions, lodging, facilities, and activities make up the tourist system. Visitor happiness, loyalty, and word-of-mouth are all greatly impacted by the quality of the services provided: yet, dishonest and intimidating tour guides have become more common. By improving client travel experiences through customisation, round-the-clock availability, a decrease in human error, and digital help, artificial intelligence (AI) tackles these problems. A branch of AI called machine learning makes use of data and algorithms to enhance performance. AI chatbots, fraud detection, airline forecasting, trip recommendation systems, and language translation are some of the tourism industry's uses of AI. The use of AI and machine learning algorithms in tourism to improve travel efficiency and enjoyment is examined in this chapter.
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