EconPapers    
Economics at your fingertips  
 

Customer Interactive Experience in Luxury Retailing: The Application of AI-Enabled Chatbots in the Interactive Marketing

Ni Zeng (), Liru Jiang (), Gianpaolo Vignali () and Daniella Ryding ()
Additional contact information
Ni Zeng: University of Manchester
Liru Jiang: University of Manchester
Gianpaolo Vignali: University of Manchester
Daniella Ryding: University of Manchester

Chapter Chapter 34 in The Palgrave Handbook of Interactive Marketing, 2023, pp 785-805 from Springer

Abstract: Abstract The use of chatbots has grown rapidly in numerous fields in recent years. Industry and academia have both realised the importance of using the artificial intelligent-enabled chatbot technologies for enhancing customer engagement and providing excellent customer experience. However, there is little known about how customers engage with chatbots when used in the retail environment. Also, few studies examine how chatbots affect customer responses within luxury fashion industry settings. There has been little done in summarising the application of chatbots in interactive marketing and the impacts of the chatbots on customer engagement. The purpose of this chapter is to briefly introduce the definition of chatbots and the application of chatbots in the luxury retail regarding interactive marketing perceptive. This chapter proposes that chatbots in luxury retail need to have low cost, quick response, attractiveness, personalised service, intelligence, and interactive features based on our research on the current application of chatbots in luxury retail. Finally, this chapter provides an analytical summary of recent research on the themes and informs future research in the field.

Keywords: Interactive marketing; Artificial intelligence; Chatbots; Customer engagement; Interactive experience (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-14961-0_34

Ordering information: This item can be ordered from
http://www.springer.com/9783031149610

DOI: 10.1007/978-3-031-14961-0_34

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-23
Handle: RePEc:spr:sprchp:978-3-031-14961-0_34