Cost control problems and countermeasures of e-commerce enterprises under the background of big data and Internet of Things

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY
Jing Wang
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引用次数: 0

Abstract

The scale of e-commerce in China continues to expand, and it has a relatively good development prospect. However, there are many problems in cost control in the development of e-commerce in our country. E-commerce companies have many problems in terms of promotion costs, warehousing costs, and operating costs. Although predecessors have made great achievements in this field and helped e-commerce companies solve problems related to cost control, there are still many problems in e-commerce companies. Question. This article starts with big data and Internet of Things technology, and focuses on storage costs and transportation costs to solve the problems of cost control in e-commerce companies. The problems existing in the development of e-commerce enterprises are: (1) The cost control system is not mature enough, the business scope is not clear, the cost control lacks innovative awareness, the logistics cost remains high, and the logistics management model is unreasonable. In order to solve these problems, we built a transportation cost optimization model and an operation cost optimization model based on big data and Internet of Things technology. Transportation cost and operation cost are two important components of the cost of e-commerce enterprises in my country. The model has been verified to effectively reduce transportation costs and operating costs, which is of great significance to reducing the cost of e-commerce enterprises in my country, can solve the problems of e-commerce enterprise development, and promote the development of e-commerce in my country. Finally, according to the model constructed by the questionnaire survey and the article, we put forward corresponding suggestions (1) optimize customer relationship, improve the enterprise model (2) promote enterprise innovation, and promote the transformation of marketing costs (3) improve the degree of informatization of e-commerce enterprises.
大数据与物联网背景下电商企业成本控制问题与对策
我国电子商务规模不断扩大,发展前景较为良好。但是,我国电子商务发展过程中在成本控制方面存在很多问题。电子商务企业在推广成本、仓储成本、运营成本等方面都存在很多问题。虽然前人在这方面取得了很大的成就,帮助电子商务企业解决了成本控制方面的问题,但电子商务企业仍然存在很多问题。问题。本文从大数据和物联网技术入手,以仓储成本和运输成本为重点,解决电商企业成本控制中存在的问题。电商企业发展中存在的问题主要有:(1)成本控制体系不够成熟,业务范围不明确,成本控制缺乏创新意识,物流成本居高不下,物流管理模式不合理。为了解决这些问题,我们构建了基于大数据和物联网技术的运输成本优化模型和作业成本优化模型。运输成本和运营成本是我国电商企业成本的两个重要组成部分。经过验证,该模型能够有效降低运输成本和运营成本,对降低我国电子商务企业成本具有重要意义,能够解决电子商务企业发展中存在的问题,促进我国电子商务的发展。最后,根据问卷调查和文章构建的模型,我们提出了相应的建议(1)优化客户关系,完善企业模式(2)促进企业创新,推动营销成本转型(3)提高电子商务企业信息化程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
152
期刊介绍: The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.
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