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Maximizing E-Tailers’ Sales Volume through the Shipping-Fee Discount and Product Recommendation System

Authors :
Yan Guo
Xiaonan Hu
Yu Zou
Shouwei Li
Wenchuan Cheng
Zhiyong Li
Source :
Discrete Dynamics in Nature and Society, Vol 2020 (2020)
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

E-tailers can impact customers’ order incidence and cart size by offering an attractive shipping fee; they can also influence customers to purchase other products using a recommendation system. This article provides a combined model in which the shipping-fee discount and product recommendations occur jointly to maximize the sales volume of e-tailers. Selection of recommended products and discount of shipping fee are the dynamic issues involving the complexity of business environments. The proposed model first determines the optimal shipping-fee discount to attract customers and then establishes the most suitable product recommendation list to encourage customers to spend more money on other products. Through the use of a shipping-fee discount and simultaneous product recommendations, e-tailers maximize the sales volume. As for consumers, they can always get additional savings from the subsequent shopping process because the product’s shipping fee is lower than the original shipping costs. Experimental results indicate that the proposed approach is feasible and better than alternative methods for achieving sales volume maximization. Furthermore, sensitivity analysis validates the stability of the proposed model in the face of an uncertain environment. Therefore, using the shipping-fee discount and product recommendation system as a united marketing strategy can maximize e-tailers’ sales volume.

Subjects

Subjects :
Mathematics
QA1-939

Details

Language :
English
ISSN :
10260226 and 1607887X
Volume :
2020
Database :
Directory of Open Access Journals
Journal :
Discrete Dynamics in Nature and Society
Publication Type :
Academic Journal
Accession number :
edsdoj.2656e1566ac4bd6b3d4a37651a8b69d
Document Type :
article
Full Text :
https://doi.org/10.1155/2020/7349162