IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-319-72745-5_33.html
   My bibliography  Save this book chapter

Research on Intelligent Sales Platform of Automobile Industry Based on Large Data Mining

In: Recent Developments in Data Science and Business Analytics

Author

Listed:
  • Jinzi Lee

    (East Campus Administrative Building, ShenZhen Polytechnic)

Abstract

In the context of Internet + and large data, the traditional automotive industry sales platform has been unable to meet the requirements of users of high quality services. How to use the online and offline large data, tap out the potential of potential customers, accurately capture the current needs of each customer, the accurate information through accurate channels to each other, as the current smart sales platform goals. Based on the current development of large data mining technology and the existing problems of automobile industry sales system, this paper gives the suggestions of intelligent sales platform based on large data mining.

Suggested Citation

  • Jinzi Lee, 2018. "Research on Intelligent Sales Platform of Automobile Industry Based on Large Data Mining," Springer Proceedings in Business and Economics, in: Madjid Tavana & Srikanta Patnaik (ed.), Recent Developments in Data Science and Business Analytics, chapter 0, pages 301-312, Springer.
  • Handle: RePEc:spr:prbchp:978-3-319-72745-5_33
    DOI: 10.1007/978-3-319-72745-5_33
    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 search for a similarly titled item that would be available.

    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:prbchp:978-3-319-72745-5_33. 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.