International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Big Data Analytics in E-Commerce Platform |
|---|---|
| ABSTRACT | The process of gathering, processing, and evaluating massive quantities of both organised and unstructured data produced by online buying activities is known as "big data analytics" in e-commerce systems. E-commerce Companies use social media interactions to collect data., product reviews, browser histories, transaction records, and customer transactions. Businesses may determine consumer preferences, forecast purchasing patterns, and enhance decision-making by utilising big data technologies. It supports focused marketing tactics, inventory control, fraud detection, and customised product suggestions. In general, big data analytics improves consumer satisfaction, boosts revenue, and boosts operational effectiveness in contemporary e-commerce platforms. |
| AUTHOR | KAVYA G D, DR. PUJA SHASHI PG Student, Dept. of MCA, City Engineering College, Bengaluru, India Professor & HOD, Dept. of ECE, City Engineering College, Bengaluru, India |
| VOLUME | 184 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1405024 |
| pdf/24_Big Data Analytics in E-Commerce Platform.pdf | |
| KEYWORDS | |
| References | 1. IEEE Conference Proceedings, “Machine Learning Applications in E-commerce Big Data Analytics,” IEEE International Conference on Data Science, 2026. 2. Oracle, “Cloud Data Analytics in Modern E-commerce Platforms,” Oracle Research Publications, 2025. 3. IBM Research, “Big Data Analytics for Retail and E-commerce Applications,” IBM Technical Report, 2024. 4. TechRadar Pro, “Why Agentic AI and Unified Commerce Will Define E-commerce in 2026,” February 2026. 5. Gartner Research, “AI and Unified Commerce Trends in E-commerce 2026,” Gartner Market Report, 2026. 6. T. White, Apache Hadoop: The Definitive Guide, 4th Edition, O’Reilly Media, 2015. 7. M. Zaharia et al., “Apache Spark: Communications of the ACM, vol. 59, no. 11, pp. 56–65, 2016, "A Unified Engine for Big Data Processing." 8. McKinsey Global Institute, “McKinsey & Company, " Big Data: The Upcoming Frontier for Competition, Innovation, and Productivity," 2021. 9. A. Munshi, A. Alhindi, T. M. Qadah, and A. Alqurashi, “A Big Data Analytics Architecture and Platform for Electronic Commerce” Applied Sciences, vol. 13, no. 19, pp. 10962, 2023 10. S. Akter and S. F. Wamba, “Big Data Analytics in Electronic Markets, vol. 26, no. 2, pp. 173–194, 2016, "E-commerce: A Systematic Review and Agenda for Future Research." |
