AI in E-Commerce Leveraging Predictive Analytics for Personalization

Abstract

With the use of predictive analytics, artificial intelligence (AI) in e-commerce is transforming the consumer experience and providing highly customized purchasing experiences. Online retailers may drive innovation in the business by optimizing inventory management, enhancing product recommendations, and predicting consumer behavior by utilizing big data and AI technology. By providing tailored information based on in-the-moment user data analysis, AI-powered systems have revolutionized user engagement and produced seamless, adaptive retail experiences. Businesses can get a competitive edge in the digital marketplace by using predictive analytics to forecast trends, predict customer preferences, and implement customized marketing tactics. These advancements go so far as to improve customer engagement and happiness by optimizing digital marketing strategies through AI-driven websites. Additionally, supply chain management and customer service are integrating robotics and AI more and more, which automates repetitive operations and boosts operational efficiency. In order to establish AI as a crucial element for future growth and innovation in online retail, this paper examines the transformative role of AI in e-commerce with a particular focus on its applications in predictive analytics to drive personalization and improve consumer experience.

Keywords: AI in E-Commerce, Deep Learning in E-Commerce, Big Data in E-Commerce, Predictive Analytics, Recommender Systems, Customer Experience, Retail Personalization, AI-Driven Marketing, Real-Time Recommendations