The Impact of Big Data on Supply Chain Optimization in Ecommerce

Authors

  • Vijay Mallik Reddy Member of Technical Staff, University of North Carolina at Charlotte, Email: vijaymr1012@gmail.com Author
  • Lakshmi Nivas Nalla Data Engineer Lead, Florida International University, 11200 SW 8th St, Miami, FL 33199 Author

Keywords:

Big data, Supply chain optimization, E-commerce, Data analytics, Predictive modeling.

Abstract

In the realm of e-commerce, the optimization of supply chains is paramount for ensuring
efficiency, cost-effectiveness, and customer satisfaction. With the advent of big data technologies,
e-commerce companies have unprecedented access to vast volumes of data that can be leveraged
to optimize various aspects of the supply chain. This paper explores the impact of big data on
supply chain optimization in e-commerce, examining how data analytics, predictive modeling, and
real-time insights can revolutionize inventory management, demand forecasting, logistics
planning, and customer fulfillment. Through a comprehensive review of existing literature and
case studies, this paper elucidates the key opportunities, challenges, and best practices in
harnessing big data for supply chain optimization in e-commerce. By embracing big data
technologies, e-commerce companies can enhance their competitive advantage, improve
operational efficiency, and deliver superior customer experiences in the digital marketplace

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Published

2020-11-12

How to Cite

The Impact of Big Data on Supply Chain Optimization in Ecommerce. (2020). International Journal of Advanced Engineering Technologies and Innovations, 1(2), 1-20. https://ijaeti.com/index.php/Journal/article/view/314

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