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Enhancing Customer Experience and Business Operations in E-Commerce Platforms through Big Data Analytics

Author

Listed:
  • Md Abdullah Al Mahmud

    (Department of Business Administration, National University of Bangladesh, Dhaka, Bangladesh)

  • Nur Vanu

    (Department of Business Administration, National University of Bangladesh, Dhaka, Bangladesh)

  • Sadia Islam Nilima

    (Department of Business Administration, National University of Bangladesh, Dhaka, Bangladesh)

  • Rakibul Hasan

    (Department of Business Administration, National University of Bangladesh, Dhaka, Bangladesh)

Abstract

Big data analytics has revolutionized the e-commerce industry by enhancing customer experience and optimizing business operations. This thesis explores the multifaceted impact of big data analytics on e-commerce platforms, highlighting how personalized customer interactions and streamlined operations contribute to a competitive advantage. Through the integration of case studies and empirical data, the research delves into the ways e-commerce businesses can harness big data to understand customer preferences, predict purchasing behavior, and tailor marketing efforts. Additionally, the study examines how data-driven insights can optimize inventory management, pricing strategies, and supply chain efficiency. The findings provide actionable insights and recommendations, guiding e-commerce businesses in leveraging big data for sustainable growth. By embracing these advanced analytical techniques, e-commerce platforms can not only enhance their customer service but also achieve operational excellence, thereby securing a stronger market position in an increasingly competitive digital landscape.

Suggested Citation

  • Md Abdullah Al Mahmud & Nur Vanu & Sadia Islam Nilima & Rakibul Hasan, 2021. "Enhancing Customer Experience and Business Operations in E-Commerce Platforms through Big Data Analytics," Journal of Business and Management Studies, Al-Kindi Center for Research and Development, vol. 3(2), pages 288-295, June.
    • Handle: RePEc:alk:jbms00:v:3:y:2021:i:2:id:8467
    DOI: 10.32996/jbms.2021.3.2.30
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