IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-898-1_7.html

Enhancing Customer Experience in E-Commerce: The Role of AI in Business Intelligence

In: Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025)

Author

Listed:
  • Rhythm Mukherjee

    (University of Engineering & Management)

  • Shivangi Ghildiyal

    (Future University)

  • Meera Sharma

    (Future University)

  • Preeti Sharma

    (University of Engineering & Management)

  • Rishita Das

    (University of Engineering & Management)

Abstract

In the dynamic landscape of e-commerce, delivering exceptional customer experience has become a strategic imperative. As digital interactions surge, organizations are implementing the use of Artificial Intelligence (AI) with Business Intelligence (BI) tools to gain actionable insights into consumer behavior, preferences, and purchasing patterns. This paper examines how AI-powered BI applications including predictive analytics, recommendation engines, natural language processing (NLP), and chatbots are transforming the customer journey by enabling real-time personalization and proactive service delivery. Through analysis of current AI applications in leading e-commerce firms and academic literature, the study identifies how AI-enhanced BI fosters improvement in customer satisfaction, brand loyalty, and data-driven decision-making. This research contributes to a deeper understanding of the synergetic potential of AI and BI in redefining customer engagement strategies and offers practical implications for practitioners and scholars navigating the future of e-commerce.

Suggested Citation

  • Rhythm Mukherjee & Shivangi Ghildiyal & Meera Sharma & Preeti Sharma & Rishita Das, 2025. "Enhancing Customer Experience in E-Commerce: The Role of AI in Business Intelligence," Advances in Economics, Business and Management Research, in: Preeti Sharma & Sweta Pareek & Sourav Banerjee (ed.), Proceedings of the International Conference on Artificial Intelligence in Management for Business and Industrial Growth (AIMBIG 2025), pages 72-84, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-898-1_7
    DOI: 10.2991/978-94-6463-898-1_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:advbcp:978-94-6463-898-1_7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.