IDEAS home Printed from https://ideas.repec.org/h/spr/mgmchp/978-3-030-25271-7_5.html
   My bibliography  Save this book chapter

Fields of Application of Artificial Intelligence—Retail, Service and Maintenance Sector

In: Understanding Artificial Intelligence

Author

Listed:
  • Ralf T. Kreutzer

    (Berlin School of Economics and Law)

  • Marie Sirrenberg

Abstract

In this chapter you will learn that an AI-related analysis of the entire value chain in the retail sector is worthwhile in order to identify the potential of AI applications. Virtual agents will become helpful partners in stationary retail. We will also analyse how anticipatory shipping, interactive screens and table tops, as well as autonomous shopping cart will change the retail landscape. AI also offers many possibilities to forecast purchasing behavior. The concept of predictive maintenance can be used to develop new business models based on usage rather than ownership. The idea of predictive maintenance can intensify the customer-supplier relationship in the consumer market and can lead to predictive servicing.

Suggested Citation

  • Ralf T. Kreutzer & Marie Sirrenberg, 2020. "Fields of Application of Artificial Intelligence—Retail, Service and Maintenance Sector," Management for Professionals, in: Understanding Artificial Intelligence, chapter 5, pages 155-166, Springer.
  • Handle: RePEc:spr:mgmchp:978-3-030-25271-7_5
    DOI: 10.1007/978-3-030-25271-7_5
    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.

    More about this item

    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:mgmchp:978-3-030-25271-7_5. 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.