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Academic ResearchMay 19, 2025International Journal of Research and Innovation in Social Science (IJRISS)

AI-Driven Hyper-Personalization in Hospitality: Application, Present and Future Opportunities, Challenges, and Guest Trust Issues

This article reviews how artificial intelligence (AI) enables hyper-personalization in hospitality, enhancing guest experiences and operational efficiency. It highlights AI applications like chatbots, virtual assistants, and AI-powered booking systems that tailor services to individual preferences. The paper also discusses challenges such as privacy concerns, technology anxiety, and trust issues, emphasizing the need for balancing personalization benefits with ethical considerations. Practical recommendations are offered for hospitality professionals to optimize AI use while maintaining guest trust.

Authors

Raihana Akter Nira

Article content

What the paper studied

This article reviews the transformative role of artificial intelligence (AI) in enabling hyper-personalization within the hospitality industry. It explores how AI-driven tools—such as chatbots, virtual assistants, and AI-powered booking systems—are used to tailor services to individual guest preferences, thereby enhancing both guest experiences and operational efficiency. The paper also examines the challenges that come with these advancements, including privacy concerns, technology anxiety, and issues of guest trust. It emphasizes the importance of balancing the benefits of personalization with ethical considerations and offers practical recommendations for hospitality professionals seeking to optimize AI adoption while maintaining guest trust.

Key findings

  • AI technologies leverage large and diverse data sources, including search histories, social media activity, and past behaviors, to deliver highly tailored recommendations and services that improve the guest journey.
  • Key AI applications in hospitality include language translators, chatbots for instant support, virtual assistants, AI-enhanced site search, self-service kiosks, biometric recognition, and immersive virtual or augmented reality experiences.
  • Hyper-personalization through AI enables hotels to anticipate guest needs and customize offerings, which can drive increased revenue and provide a competitive edge.
  • The Personalization-Privacy Paradox is a central challenge: while guests value tailored experiences, they are increasingly wary of how their personal data is collected and used, leading to privacy concerns and technology-related anxiety.

Why it matters for hospitality

AI-driven hyper-personalization has the potential to significantly elevate guest satisfaction, loyalty, and brand reputation—core drivers of success in hospitality. However, these benefits can be undermined if privacy fears, reduced human contact, or lack of transparency erode guest trust. The industry must carefully manage these risks to fully realize the advantages of AI while protecting both guest relationships and brand integrity.

Practical takeaways

  • Invest in AI technologies that are closely aligned with guest expectations and can deliver meaningful, personalized service enhancements.
  • Train staff to work alongside AI tools, ensuring that technology augments rather than replaces the human touch in guest interactions.
  • Develop and communicate transparent data practices, including robust security measures and clear explanations of how guest data is collected and used, to foster trust.
  • Balance the pursuit of technological innovation with ethical considerations, prioritizing guest privacy and trust to avoid negative impacts such as disengagement or reputational harm.

Tags

Artificial IntelligenceHyper-PersonalizationHospitality TechnologyGuest ExperienceCustomer TrustPrivacyAI ApplicationsHotel Operations

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