Big Data Analytics in E-commerce Driving Business Decisions Through Customer Behavior Insights

¹ Assistant professor, Department of Information Technology, Yeshwantrao Chavan college of Engineering and Technology Nagpur, Maharashtra, India
² Assistant Professor, Department of Computer Science Engineering, Tontadarya College of Engineering, Gadag-Betigeri, Karnataka, India
³ Associate Professor, Department of Business Administration, Kalasalingam Business School, Kalasalingam Academy of Research & Education, Tamil Nadu, India
⁴ Assistant Professor, Department of Commerce, Faculty of Science and Humanities, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India
⁵ Associate Professor, Department of Mathematics, SIMATS Engineering, Saveetha Institute of Medical and Technical Sciences, SIMATS, India
⁶ Assistant Professor, Department of EEE, New Prince Shri Bhavani College of Engineering and Technology Chennai, Tamil Nadu, India

pandepooja.sfdc@gmail.com
kulkarniak644@gmail.com
balateach@gmail.com
gurubalaji08@gmail.com
vanajar.sse@saveetha.com
revathi.r@newprinceshribhavani.com

Abstract

This proposition seeks to find out the significant opportunities BIG Data Analysis can offer to e-commerce and generate analytic decisions about customer behavior. With evolving e-commerce, consumer actions have been the most important factor for businesses keeping competitive. This comprehensive framework that combines machine learning, predictive analytics, and customer segmentation provides actionable insights by addressing the challenges posed in areas such as seasonality, economic trends, privacy concerns, and scalability. Moreover, it combines privacy-preserving techniques and ethical data governance that enables businesses to do so while building trust with their customers. With the merging of data science and user experience design, this study focuses on real-time decision-making, personalized recommendations, and enriched customer engagement. A scalable solution for e-commerce businesses, big or small, looking to increase performance, forecast demand, boost customer loyalty epidemic and partner experience in one app; the aim of the findings. Our research bridges the gap between academia and practice, and it acts as a guide for e-commerce companies to utilize Big Data to gain a strategic edge in the competitive market.