Real-Time Data Analytics for Enhancing Customer Experience in E-Commerce

  • Authors

    • M. Riyaz Mohammed Assistant professor, Department of Computer Science and Information Technology, Jamal Mohammed College (Autonomous), Tiruchirappalli, Tamil Nadu, India. Author

    DOI:

    https://doi.org/10.67228/30713498/IJADSMC-2019PI1R6T

    Published 01-01-2019

  • Real-Time Data Analytics, E-Commerce, Customer Experience, Personalization, Predictive Analytics, Machine Learning, Dynamic Pricing, Customer Support, Recommendation Systems, Big Data, Sentiment Analysis, E-Commerce Trends

    Issue

    Vol. 2 No. 1 (2019)

    Section

    Articles

    How to Cite

    [1]
    R. Mohammed, “Real-Time Data Analytics for Enhancing Customer Experience in E-Commerce”, IJADSMC, vol. 2, no. 1, pp. 01–12, Jan. 2019, doi: 10.67228/30713498/IJADSMC-2019PI1R6T.

  • Abstract

    In today's rapidly evolving e-commerce landscape, delivering an exceptional customer experience is more critical than ever. Real-time data analytics has emerged as a transformative tool, enabling e-commerce businesses to tailor their offerings to customer needs instantly. This paper explores the integration of real-time data analytics in enhancing customer experience in e-commerce, focusing on personalization, dynamic pricing, inventory management, and customer support. We examine the key techniques and technologies driving this shift, including predictive analytics, recommendation engines, and sentiment analysis. Through case studies, we highlight the practical applications of real-time data and its effectiveness in improving customer satisfaction and retention. Finally, we discuss the challenges faced by businesses in implementing real-time analytics and the future prospects of this technology in the e-commerce sector.

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