About this Thesis

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.