Big Data application for E-commerce's Logistics: A research assessment and conceptual model

被引：9
|
作者：
Hurtado, Paula A. [1 ]
Dorneles, Carina [2 ]
Frazzon, Enzo [1 ]
机构：
[1] Univ Fed Santa Catarina, Ind & Syst Engn Dept, BR-88040001 Florianopolis, SC, Brazil
[2] Univ Fed Santa Catarina, Informat & Stat Dept INE CTC, BR-88040001 Florianopolis, SC, Brazil
来源：
IFAC PAPERSONLINE | 2019年 / 52卷 / 13期
关键词：
Digital Marketing; Demand Forecasting; Electronic Commerce; E-fulfillment; SUPPLY CHAIN MANAGEMENT;
D O I：
10.1016/j.ifacol.2019.11.234
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Electronic commerce is growing continuously as a consequence of the advantages that it provides for consumers and companies. As the volume growth, several operational logistics challenges appear, mainly related to providing proper service levels which meet consumer expectations. The exploration of consumer behavior data to perform predictive analysis stands out as an option for overcoming logistic difficulties. Thereof, this paper assesses the e-commerce distribution operation and propose a novel conceptual model embracing the anticipation of e-commerce's demand based on the data collected by digital marketing, to enable predictive planning for the distribution of products. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：838 / 843
页数：6
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