Big Data in E-commerce: How Online Retailers Use Customer Data to Improve Sales
1 Department of Computer Science Engineering, Government Polytechnic, Harihara -577601, Karnataka, India.
2 Department of Computer Science Engineering, DRR Government Polytechnic, Davanagere -577004, Karnataka, India.
Research Article
World Journal of Advanced Research and Reviews, 2020, 08(01), 320-327
Publication history:
Received on 14 October 2020; revised on 25 October 2020; accepted on 28 October 2020
Abstract:
The proliferation of digital commerce has created unprecedented opportunities for retailers to collect, analyze, and leverage vast amounts of customer data. This research paper examines how online retailers utilize big data analytics to enhance sales performance through personalized marketing, recommendation systems, inventory optimization, and customer experience enhancement. Through analysis of case studies from major e-commerce platforms and review of literature published prior to 2019, this study demonstrates that strategic implementation of big data analytics can significantly improve sales conversion rates, customer retention, and overall revenue growth. The findings reveal that companies employing comprehensive big data strategies show 15-20% higher sales growth compared to traditional retail approaches, while simultaneously raising important considerations regarding data privacy and ethical use of customer information.
Keywords:
Big Data; E-commerce; Customer Data Analytics; Online Retail; Sales Optimization; Data-Driven Marketing
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Copyright © 2020 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0