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American Journal of Business and Operations Research
Volume 1 , Issue 2, PP: 77-83 , 2020 | Cite this article as | XML | Html |PDF

Title

An Intelligent Approach for Demand Forecasting in E-commerce

  Samah I. Abdel aal 1 *

1  Department of Information Systems, Faculty of Computers and Informatics, Zagazig University, Sharkia, Zagazig, 44519, Egypt
    (eng_samah2013@yahoo.com)


Doi   :   https://doi.org/10.54216/AJBOR.010203

Received: May 16, 2020 Accepted September 17, 2020

Abstract :

With the growth of e-commerce, accurate demand forecasting has become a critical aspect of successful business operations. Traditional demand forecasting techniques such as time-series analysis, moving averages, and exponential smoothing have been used for years, but they have limitations in capturing the complex and dynamic nature of e-commerce demand. In this paper, we explore innovative approaches to demand forecasting in e-commerce. Specifically, we discuss the use of tree-based Machine Learning (ML) techniques as well as advanced statistical models such as Bayesian networks and hierarchical models. We provide a case study of successful implementations of innovative demand forecasting techniques in e-commerce companies. The  results show that our approach can significantly improve inventory management and logistics strategies, leading to increased profitability and customer satisfaction.

Keywords :

Machine Learning (ML) ; Forcasting; Intelligent Systems; E-Commerce

References :

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Cite this Article as :
Style #
MLA Samah I. Abdel aal. "An Intelligent Approach for Demand Forecasting in E-commerce." American Journal of Business and Operations Research, Vol. 1, No. 2, 2020 ,PP. 77-83 (Doi   :  https://doi.org/10.54216/AJBOR.010203)
APA Samah I. Abdel aal. (2020). An Intelligent Approach for Demand Forecasting in E-commerce. Journal of American Journal of Business and Operations Research, 1 ( 2 ), 77-83 (Doi   :  https://doi.org/10.54216/AJBOR.010203)
Chicago Samah I. Abdel aal. "An Intelligent Approach for Demand Forecasting in E-commerce." Journal of American Journal of Business and Operations Research, 1 no. 2 (2020): 77-83 (Doi   :  https://doi.org/10.54216/AJBOR.010203)
Harvard Samah I. Abdel aal. (2020). An Intelligent Approach for Demand Forecasting in E-commerce. Journal of American Journal of Business and Operations Research, 1 ( 2 ), 77-83 (Doi   :  https://doi.org/10.54216/AJBOR.010203)
Vancouver Samah I. Abdel aal. An Intelligent Approach for Demand Forecasting in E-commerce. Journal of American Journal of Business and Operations Research, (2020); 1 ( 2 ): 77-83 (Doi   :  https://doi.org/10.54216/AJBOR.010203)
IEEE Samah I. Abdel aal, An Intelligent Approach for Demand Forecasting in E-commerce, Journal of American Journal of Business and Operations Research, Vol. 1 , No. 2 , (2020) : 77-83 (Doi   :  https://doi.org/10.54216/AJBOR.010203)