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

Authors: Fei Tang

Addresses: School of Economics and Management, Henan Polytechnic Institute, Nanyang 473000, China

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.

DOI: 10.1504/IJASS.2023.133893

International Journal of Applied Systemic Studies, 2023 Vol.10 No.2, pp.154 - 168

Received: 12 Jul 2021
Accepted: 07 Apr 2022
Published online: 05 Oct 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article