An e-commerce logistics service customer relationship management system based on RFM model

Fei Tang

International Journal of Applied Systemic Studies, 2023, vol. 10, issue 2, 154-168

Abstract: In order to solve the problems of traditional customer relationship management system of e-commerce logistics service, such as high transmission error, long running time and high packet loss rate, a customer relationship management system of e-commerce logistics service based on RFM model is proposed. This system mainly combines RFM model, dynamically displays all contour states of customer consumption behaviour from three aspects of purchase time, frequency and quantity, and obtains user classification rule table. The experimental results show that the transmission error of this system is 0.15%, the system running time is 0.1 s, and the packet loss rate is about 0.06, which is better than the comparison system and has great research value.

Keywords: RFM model; e-commerce; logistics service; customer relationship management; CRM. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=133893 (text/html)
Access to full text is restricted to subscribers.

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:ids:ijassi:v:10:y:2023:i:2:p:154-168

Access Statistics for this article

More articles in International Journal of Applied Systemic Studies from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().