The Impact of Machine Learning Algorithms on Improving the User Experience in E-Commerce

Abstract

This article explores the transformative impact of machine learning algorithms on improving the user experience in e-commerce. As e-commerce develops, it is becoming a key sector that uses advanced technologies to meet the changing needs of consumers. Machine learning plays a crucial role in personalizing user interactions, optimizing inventory management through predictive analytics, and improving recommendation systems. The article examines the various methodologies used, including collaborative filtering and contextual networks, and highlights the benefits of artificial intelligence-based chatbots to improve customer interaction. It should be noted that potentially in the future it will be possible to use machine learning in e-commerce, which will lead to solving problems such as data privacy and algorithm bias. Ultimately, the article highlights the need to adapt and innovate in the field of e-commerce to maintain user loyalty and satisfaction in a growing competitive market.