AI-Driven Big Data Analytics for Enhanced Customer Journeys: A New Paradigm in E-Commerce

Abstract

The increasing volume of data generated by e-commerce platforms has led to a new era in customer experience management, where AI-driven big data analytics play a pivotal role. This paper explores the transformative impact of integrating AI with big data analytics to enhance customer journeys in the e-commerce sector. Through real-time insights, predictive analytics, and personalized recommendations, AI enables businesses to optimize customer interactions at every touchpoint. The paper examines key AI techniques such as machine learning, natural language processing, and neural networks, which are employed to analyze customer behavior patterns, preferences, and purchasing habits. It also addresses the role of AI in predicting market trends, improving supply chain management, and increasing customer satisfaction. The study highlights the challenges and opportunities associated with AI adoption in big data environments, including data privacy concerns and the need for scalable architectures. By presenting case studies and empirical findings, this research offers a comprehensive framework for leveraging AI-driven big data analytics to reshape customer experiences and drive business growth in the competitive ecommerce landscape.