IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Impact of Artificial Intelligence on Luxury Consumer Behavior and Experience

Impact of Artificial Intelligence on Luxury Consumer Behavior and Experience
View Sample PDF
Author(s): Guruprasanna G. Hegde (Dayananda Sagar College of Engineering, Yellapur, India)and K.S. Ganesha (Dayananda Sagar College of Engineering, India)
Copyright: 2026
Pages: 30
Source title: Harnessing AI for Point-of-Sale Optimization
Source Author(s)/Editor(s): Nozha Erragcha (University of Jendouba, Tunisia)and Maher Toukabri (Northern Border University, Saudi Arabia & University of Jendouba, Tunisia & Laboratory ARBRE, University of Tunis, Tunisia)
DOI: 10.4018/979-8-3373-4392-1.ch006

Purchase

View Impact of Artificial Intelligence on Luxury Consumer Behavior and Experience on the publisher's website for pricing and purchasing information.

Abstract

The luxury industry is undergoing a profound transformation driven by Artificial Intelligence (AI), which is redefining consumer expectations, brand interactions, and value creation. This chapter examines the impact of AI on luxury consumer behaviour and experience by integrating theoretical insights with illustrative case studies from global luxury brands. The study begins by introducing the growing role of AI in the luxury sector and outlining its significance for personalization, exclusivity, and consumer engagement. The conceptual background explores key frameworks that link AI-driven innovations such recommendation systems, chatbots, virtual try-ons, and predictive analytics with shifts in consumer attitudes, purchase intentions, and loyalty.Selected case studies highlight how leading luxury brands leverage AI to strengthen brand equity while navigating challenges of authenticity and data ethics. The analysis discusses the dual dimensions of AI adoption: the benefits of enhanced personalization, efficiency, and predictive value, as well as the challenges of over-automation.

Related Content

Frederic Andres. © 2027. 14 pages.
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar. © 2027. 27 pages.
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran. © 2027. 24 pages.
Swetha Margaret T. A., Renuka Devi D.. © 2027. 31 pages.
Maurice Saluschke, Michael Schulz. © 2027. 30 pages.
Mirjam Sepesy Maučec, Gregor Donaj. © 2027. 16 pages.
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo. © 2027. 21 pages.
Body Bottom