IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v10y2024i6id590.html

Sustainability and AI in Automotive E-Commerce: Analyzing Eco-Friendly Consumer Choices

Author

Listed:
  • Vijaya Kumar Reddy Atla

Abstract

Artificial intelligence and sustainability concerns are coming together to change the automotive e-commerce industry completely and how buyers approach car purchases. This article thoroughly investigates how intelligent systems support and encourage environmentally conscious purchasing decisions, examining the complex interactions between AI technology and eco-conscious customer behavior in the car industry. This article illustrates how AI-driven platforms are changing the automobile retail scene while encouraging sustainable choices by examining personalized recommendation systems, predictive analytics, and environmental impact assessments. The article emphasizes how important cutting-edge technologies are to improve supply chain transparency, charging infrastructure optimization, and customer awareness of environmental effects—all of which lead to a more sustainable car sector.

Suggested Citation

  • Vijaya Kumar Reddy Atla, 2024. "Sustainability and AI in Automotive E-Commerce: Analyzing Eco-Friendly Consumer Choices," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 10(6), pages 1941-1947, November.
    • Handle: RePEc:jbh:ijsrcs:v10:y2024:i6:id:590
    DOI: 10.32628/CSEIT241061240
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT241061240
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT241061240
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/home/article/download/CSEIT241061240/CSEIT241061240
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/CSEIT241061240?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
    ---><---

    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:jbh:ijsrcs:v10:y2024:i6:id:590. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.