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American Journal of Business and Operations Research
Volume 2 , Issue 2, PP: 89-97 , 2021 | Cite this article as | XML | Html |PDF

Title

Transforming E-commerce Operations: An Intelligent Business Intelligence Approach for Improving Customer Transaction Management

  Abdullah Ali Salamai 1 *

1  Department of Management, Applied College, Jazan University, Jazan, KSA.
    (abSalamai@jazanu.edu.sa)

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Doi   :   https://doi.org/10.54216/AJBOR.020203

Received: March 22, 2021 Accepted: July 15, 2021

Abstract :

 In the fast-paced world of e-commerce, understanding customer behavior is essential for success. Business intelligence (BI) tools provide valuable insights into customer transactions and can be used to model and predict customer behavior. This paper explores the use of BI techniques for modeling customer transaction behavior in e-commerce. We discuss the various types of BI tools available and their use in analyzing customer data. We then outline a framework for using BI to develop a customer transaction behavior model, including data collection, preprocessing, feature selection, and model selection. Finally, we present a case study in which we apply this framework to a real-world e-commerce dataset and demonstrate the effectiveness of our approach in predicting customer behavior. Our results show that BI techniques can be an effective tool for modeling customer behavior in e-commerce, providing valuable insights for businesses looking to optimize their operations and increase customer satisfaction.

Keywords :

E-commerce; Intelligent Business; Intelligence Approach; Customer Transaction; BI

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Cite this Article as :
Style #
MLA Abdullah Ali Salamai. "Transforming E-commerce Operations: An Intelligent Business Intelligence Approach for Improving Customer Transaction Management." American Journal of Business and Operations Research, Vol. 2, No. 2, 2021 ,PP. 89-97 (Doi   :  https://doi.org/10.54216/AJBOR.020203)
APA Abdullah Ali Salamai. (2021). Transforming E-commerce Operations: An Intelligent Business Intelligence Approach for Improving Customer Transaction Management. Journal of American Journal of Business and Operations Research, 2 ( 2 ), 89-97 (Doi   :  https://doi.org/10.54216/AJBOR.020203)
Chicago Abdullah Ali Salamai. "Transforming E-commerce Operations: An Intelligent Business Intelligence Approach for Improving Customer Transaction Management." Journal of American Journal of Business and Operations Research, 2 no. 2 (2021): 89-97 (Doi   :  https://doi.org/10.54216/AJBOR.020203)
Harvard Abdullah Ali Salamai. (2021). Transforming E-commerce Operations: An Intelligent Business Intelligence Approach for Improving Customer Transaction Management. Journal of American Journal of Business and Operations Research, 2 ( 2 ), 89-97 (Doi   :  https://doi.org/10.54216/AJBOR.020203)
Vancouver Abdullah Ali Salamai. Transforming E-commerce Operations: An Intelligent Business Intelligence Approach for Improving Customer Transaction Management. Journal of American Journal of Business and Operations Research, (2021); 2 ( 2 ): 89-97 (Doi   :  https://doi.org/10.54216/AJBOR.020203)
IEEE Abdullah Ali Salamai, Transforming E-commerce Operations: An Intelligent Business Intelligence Approach for Improving Customer Transaction Management, Journal of American Journal of Business and Operations Research, Vol. 2 , No. 2 , (2021) : 89-97 (Doi   :  https://doi.org/10.54216/AJBOR.020203)
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