Optimizing Inventory Management in E-commerce with Big Data Technologies

  • 1Lakshmi Nivas Nalla, 2Vijay Mallik Reddy 1Data Engineer Lead, Florida International University, 11200 SW 8th St, Miami, FL 33199, Email:nallanivas@gmail.com 2Member of Technical Staff, University of North Carolina at Charlotte, Email:vijaymr1012@gmail.co
Keywords: Inventory management, E-commerce, Big data, Data analytics, Machine learning, Operational efficiency


Inventory management is a critical aspect of e-commerce operations, directly impacting customer satisfaction, operational efficiency, and financial performance. With the proliferation of big data technologies, e-commerce businesses now have the opportunity to leverage vast volumes of data to optimize their inventory management processes. This paper explores the role of big data technologies in enhancing inventory management in e-commerce, examining strategies for data collection, analysis, and decision-making. Through a comprehensive review of existing literature and case studies, this paper identifies key challenges and opportunities in inventory management and proposes innovative solutions enabled by big data technologies. By harnessing the power of data analytics, machine learning, and real-time insights, e-commerce businesses can achieve greater visibility into their inventory, streamline operations, and meet customer demand more effectively.

How to Cite
1Lakshmi Nivas Nalla, 2Vijay Mallik Reddy. (2023). Optimizing Inventory Management in E-commerce with Big Data Technologies. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 7(4), 99-104. Retrieved from http://ijcst.com.pk/index.php/IJCST/article/view/435