AI-Driven Strategies for Maximizing Revenue in Tourism: A Comprehensive Review of Literature

AI-Driven Strategies for Maximizing Revenue in Tourism: A Comprehensive Review of Literature

Uma Pandey (Jagran Lakecity University, India), Saloni Bansal (Central University of Haryana, India), and Vishal Valuskar (Jagran Lakecity University, India)
Copyright: © 2025 |Pages: 16
DOI: 10.4018/979-8-3693-8507-4.ch004
OnDemand:
(Individual Chapters)
Forthcoming
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

This chapter investigates the transformational effect of artificial intelligence (AI) in increasing income in the tourist business. AI has become an important tool for firms looking to improve customer service, optimize pricing tactics, and simplify operations. AI is changing the way tourist firms interact with their clients and generate revenues, from dynamic pricing algorithms to tailored customer experiences. The chapter focuses on the effective integration of AI throughout the industry, from huge hotel chains to small tour operators, stressing the benefits of predictive analytics, AI-powered chatbots, and real-time data analysis. It also covers the barriers to AI adoption, such as high prices, data privacy issues, and the requirement for trained labor. As tourism adjusts to post-pandemic adjustments and changing client expectations, artificial intelligence is projected to play an ever larger role in improving operational efficiency, marketing, and revenue growth. This chapter offers ideas for professionals seeking to use AI to remain competitive in an ever-changing digital world.
Chapter Preview

Complete Chapter List

Search this Book:
Reset