A data analytic-based logistics modelling framework for E-commerce enterprise

IF 4.4 4区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Enterprise Information Systems Pub Date : 2022-01-27 DOI:10.1080/17517575.2022.2028195

Abhishek Verma, Y. Kuo, M. Kumar, S. Pratap, Velvet Chen

引用次数: 6

Abstract

ABSTRACT Data-driven approaches have noteworthy significance in managing and improving logistics in E-commerce enterprises. This study focuses on the development of an integrated framework to analyse the Brazilian E-Commerce enterprise public dataset. From the analysis, it is found that sellers of Ibitinga city of SP state had the most count of late deliveries where 42 sellers are under-performing in terms of estimated delivery time. Locations of customers and sellers were spotted on a map to get a geographical representation. The proposed framework may help E-Commerce enterprise owners and retail merchants to make better decisions related to sales and E-Commerce enterprise logistics.

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基于数据分析的电子商务企业物流建模框架

数据驱动方法对电子商务企业的物流管理和改善具有重要意义。本研究的重点是开发一个综合框架来分析巴西电子商务企业公共数据集。从分析中发现，SP州Ibitinga市的卖家有最多的延迟交货数量，其中42个卖家在预计交货时间方面表现不佳。顾客和卖家的位置被标注在地图上，以获得地理代表。提出的框架可以帮助电子商务企业所有者和零售商更好地做出与销售和电子商务企业物流相关的决策。

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

Enterprise Information Systems 工程技术-计算机：信息系统

CiteScore

11.00

自引率

6.80%

发文量

审稿时长

6 months

期刊介绍： Enterprise Information Systems (EIS) focusses on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.