AI-Driven Marketing Automation: Boosting Guest Engagement

Afshan Irshad () and Ajit Kumar Singh
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Afshan Irshad: Chandigarh University, Research Scholar
Ajit Kumar Singh: Chandigarh University, Professor

A chapter in Proceedings of the 2nd International Conference on Innovation and Regenerative Trends in Tourism and Hospitality Industry (IRTTHI 2025), 2025, pp 66-73 from Springer

Abstract: 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.

Keywords: AI-driven marketing; tourism automation; guest engagement; predictive analytics; machine learning (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-799-1_7

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DOI: 10.2991/978-94-6463-799-1_7

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