Modernization of E-Commerce and Logistics Platforms of Enterprises Based on Artificial Intelligence Technology

Author:

Aliyev Alovsat G.1ORCID,Shahverdiyeva Roza O.1ORCID,Hagverdiyeva Ulker H.1

Affiliation:

1. Institute of Information Technology, Baku, Azerbaijan; E-mail: alovsat_qaraca@mail.ru; shahverdiyevar@gmail.com; ulker_haqverdiyeva@mail.ru

Abstract

E-commerce systems have become one of the global trends in the current era when large-scale technological innovations are rapidly applied to all fields of activity. In particular, in recent times, the digital transformation of the economy and society has created conditions for the massive replacement of traditional trade with electronic trade. The rapid development of e-commerce has led to the emergence of many modern trends in the activity sectors, the formation of new requirements for e-commerce systems, and the beginning of a new era in logistics and supply chain management. An overview analysis of relevant scientific research works was conducted and the state of problem solving was studied. Providing a personalized approach to customers, optimizing supply chain operations, and responding to customer inquiries in a timely and accurate manner are the problems that await their solution. For this reason, in the presented article, directions for improving the performance of e-commerce systems and optimizing supply chain management processes by applying innovative technologies such as artificial intelligence, the Internet of Things, and big data have been studied. A conceptual model of intelligent e-commerce systems has been proposed based on the application of these technologies. Appropriate recommendations were given for modernizing e-commerce and logistics platforms applied at the national, regional, and enterprise levels based on new digital transformation technologies.

Publisher

IOS Press

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3