IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-030-50010-8_11.html
   My bibliography  Save this book chapter

Customer Service Effectiveness in Shared Mobility Systems Using Artificial Intelligence Algorithms

In: Transport Development Challenges in the 21st Century

Author

Listed:
  • Justyna Pawłowska

    (University of Gdansk)

Abstract

Sharing economy has been developing dynamically for a few years. Shared mobility systems are one of the most interesting dynamically developing concepts of the sharing economy. All around the world alternative transport modes have become an object of interest while being promoted as innovative forms of urban mobility. Shared mobility systems are focused on reducing the number of transport vehicles by using each of them more efficiently. In order for these systems to develop, an efficient customer service is needed. Nowadays, artificial intelligence is increasingly reshaping services by performing various tasks in an innovative way. Artificial intelligence algorithms for customer service are pushing the envelope of innovation and revolutionizing the way customers are assisted. Currently, AI-assisted bots can efficiently handle first-level queries and assist in reducing operational costs. Currently, artificial intelligence is used in customer support service in industries such as: finance, retail, travel, food and transport. The aim of the chapter is to create an algorithm dedicated to the customer service in shared mobility system which includes sample dialogs, flow diagram and prompt lists adapted to shared mobility systems.

Suggested Citation

  • Justyna Pawłowska, 2021. "Customer Service Effectiveness in Shared Mobility Systems Using Artificial Intelligence Algorithms," Springer Proceedings in Business and Economics, in: Michal Suchanek (ed.), Transport Development Challenges in the 21st Century, pages 125-133, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-50010-8_11
    DOI: 10.1007/978-3-030-50010-8_11
    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:978-3-030-50010-8_11. 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.