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AI-Powered Destination Marketing: Personalization, Consumer Engagement, and Competitive Positioning

AI-Powered Destination Marketing: Personalization, Consumer Engagement, and Competitive Positioning
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Author(s): Parihar Suresh Dahake (Ramdeobaba University, Nagpur, India), Pragati Parihar Dahake (VMV Commerce, JMT Arts, and JJP Science College, Nagpur, India)and Himanshu M. Shukla (Symbiosis Institute of Business Management, Symbiosis International University, Pune, India)
Copyright: 2026
Pages: 38
Source title: AI for Organizational Excellence and Inclusive Growth
Source Author(s)/Editor(s): Rafael Ignacio Pérez-Uribe (Invesproject, Colombia), David Ocampo-Guzmán (Universidad EAN, Colombia), Maria Teresa Ramírez-Garzón (Invesproject, Colombia)and Luz Janeth Lozano-Correa (Santo Tomas University, Colombia)
DOI: 10.4018/979-8-2600-0439-5.ch008

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Abstract

The central aim of this research study is to highlight the opportunities and challenges surrounding the use of AI technology in the marketing and promotion of tourism destinations. Its promotion comprises a deliberate and well-conceived strategy for optimizing the benefits derived from tourism expenditure, aiming to generate economic returns while also fostering other social, cultural, or environmental values for the destination. This study focuses on AI-powered destination marketing with a special emphasis on personalization to enhance consumer engagement. Investigating the consumer viewpoint is a crucial aspect of this work, as it is essential to ensure that the design and implementation of AI-powered marketing strategies remain consumer-centric (Geisler,2018). With the advancement of technology, consumers can be individually addressed through marketing actions and tools based on in-depth knowledge about their preferences and behavior.

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