IDEAS home Printed from https://ideas.repec.org/a/aza/airwa0/y2023v2i3p237-245.html
   My bibliography  Save this article

AI revolutionising customer experience through personalisation and intelligent experiences

Author

Listed:
  • Maxim, Benjamin

    (MSUFCU Reseda Group, USA)

Abstract

Artificial intelligence (AI) has existed in some fashion for almost seven decades, but its advancement has been limited to large companies and prestigious universities due to the cost of computing power. With the ubiquity of modern computing creating 97 zettabytes of data in the world by the end of 2022, companies are tapping into this new commodity to deliver a seamless, omnichannel customer experience using AI to compete above their weight class. The surge in online interactions since the onset of the COVID-19 pandemic has escalated consumer expectations, giving them more exposure to the personalisation practices of e-commerce leaders and raising the bar for everyone else. From web to mobile and in-person interactions, consumers now view personalisation as the default standard for engagement, making personalisation matter more than ever before as three-quarters of consumers switched to a new store, product or buying method during the pandemic. This paper sets out to highlight companies that are using AI to produce a stellar customer experience and discusses pitfalls that have been discovered along the way.

Suggested Citation

  • Maxim, Benjamin, 2023. "AI revolutionising customer experience through personalisation and intelligent experiences," Journal of AI, Robotics & Workplace Automation, Henry Stewart Publications, vol. 2(3), pages 237-245, March.
  • Handle: RePEc:aza:airwa0:y:2023:v:2:i:3:p:237-245
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/7811/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/7811/
    Download Restriction: Requires a paid subscription for full access.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    artificial intelligence; customer experience; phygital; intelligent experience; data privacy;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • G2 - Financial Economics - - Financial Institutions and Services

    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:aza:airwa0:y:2023:v:2:i:3:p:237-245. 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: Henry Stewart Talks (email available below). General contact details of provider: .

    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.