Proceedings of the 2nd International Conference on Innovation and Regenerative Trends in Tourism and Hospitality Industry (IRTTHI 2025)

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AI-Driven Marketing Automation: Boosting Guest Engagement

Authors
Afshan Irshad1, *, Ajit Kumar Singh2
1Research Scholar, Chandigarh University, Mohali, India
2Professor, Chandigarh University, Mohali, India
*Corresponding author. Email: nahsfa1994@gmail.com
Corresponding Author
Afshan Irshad
Available Online 13 August 2025.
DOI
10.2991/978-94-6463-799-1_7How to use a DOI?
Keywords
AI-driven marketing; tourism automation; guest engagement; predictive analytics; machine learning
Abstract

The research examines AI marketing automation systems in tourism to enhance visitor engagement while optimizing marketing strategies. The research evaluates how artificial intelligence technologies including predictive analytics and chatbots and natural language processing (NLP) enhance operational efficiency and simplify customer interactions and enable personalized marketing activities. The research used case studies of the Maldives and Bhutan within a qualitative framework to demonstrate how artificial intelligence affects travel marketing. The research demonstrates that artificial intelligence automation enables companies to deliver personalized experiences while improving operational efficiency and providing data-based insights to optimize marketing strategies. The implementation of artificial intelligence automation faces ongoing challenges because of ethical concerns and high costs and data privacy issues. The research identifies its limitations by requiring additional empirical evidence and depending on secondary data sources. The research investigates these elements to provide insights about future industrial applications while demonstrating artificial intelligence’s transformative impact on travel marketing.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Innovation and Regenerative Trends in Tourism and Hospitality Industry (IRTTHI 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
13 August 2025
ISBN
978-94-6463-799-1
ISSN
2352-5428
DOI
10.2991/978-94-6463-799-1_7How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Afshan Irshad
AU  - Ajit Kumar Singh
PY  - 2025
DA  - 2025/08/13
TI  - AI-Driven Marketing Automation: Boosting Guest Engagement
BT  - Proceedings of the 2nd International Conference on Innovation and Regenerative Trends in Tourism and Hospitality Industry (IRTTHI 2025)
PB  - Atlantis Press
SP  - 66
EP  - 73
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-799-1_7
DO  - 10.2991/978-94-6463-799-1_7
ID  - Irshad2025
ER  -