IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v87y2025ics096969892500195x.html
   My bibliography  Save this article

Redefining consumer experience through artificial intelligence in the luxury retail sector

Author

Listed:
  • Cenizo, Coral

Abstract

Artificial intelligence has established itself as a central driver of business transformation, standing out for its capacity to automate processes, personalize services, and optimize strategic decision-making. In the luxury sector, its incorporation presents a particular complexity, as it requires a delicate balance between technological efficiency and the preservation of the symbolic, aesthetic, and emotional values that shape brand identity. This study aims to explore how professionals within the luxury sector perceive the integration of artificial intelligence and what conditions they consider necessary for the technology to be adopted without compromising exclusivity or the distinctive customer experience. The research followed a qualitative, exploratory methodology, based on semi-structured interviews with experts from various fields related to luxury management, technological innovation, and brand experience. Findings indicate that the acceptance of artificial intelligence in the luxury context depends on its ability to integrate invisibly, reinforce the narrative and emotional dimensions of the experience, and function as a relational infrastructure rather than an autonomous tool. Key strategies identified include its curatorial role in personalization processes and its cross-functional incorporation into collaborative organizational dynamics. From a practical standpoint, these results offer guidance for implementing advanced technologies in environments where cultural and symbolic sensitivity is essential to perceived value. The value of this study lies in proposing an alternative understanding of artificial intelligence as a symbolic mediator rather than a purely technical solution, thereby offering new insights for its application in identity-rich contexts.

Suggested Citation

  • Cenizo, Coral, 2025. "Redefining consumer experience through artificial intelligence in the luxury retail sector," Journal of Retailing and Consumer Services, Elsevier, vol. 87(C).
  • Handle: RePEc:eee:joreco:v:87:y:2025:i:c:s096969892500195x
    DOI: 10.1016/j.jretconser.2025.104416
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096969892500195X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2025.104416?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:joreco:v:87:y:2025:i:c:s096969892500195x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.