The growth of e-commerce is one of the fastest growing distribution methods for business and has significantly changed the operations of retailers all over the world. Innovative solutions and improved consumer experiences are greatly helped by artificial intelligence (AI) in the e-commerce market. Hence, the concept of algorithms and learning technology, which provides a framework for automation are important to AI when it comes to the eCommerce sector. E-commerce use AI and data gathered from customers and company to predict new developments and make informed decisions effectively. This research studies the relationship between AI Shopping Cart, Recommendations System, Chatbots, and Image Search and how they contribute to customer satisfaction. Questionnaire survey was collected from 208 consumers in Malaysia aged between 18 years old and above. SPSS software was used as the data analysis tool and results from descriptive analysis, reliability test, Pearson correlation coefficient analysis, inferential statistics, multiple linear regression as well as hypotheses testing were considered. The findings revealed that recommender systems and image searches are important elements that contribute to customers satisfaction and customers who are satisfied with the AI functions will continue to use these AI applications. This research provides insights for e-commerce retailers, consumers, and researchers.