E-Commerce Trends and Future Growth Prospects in the U.S.: Harnessing AI and ML for Expansion
Abstract
This article explores the U.S. e-commerce landscape and the transformative role of AI and ML. It examines how these technologies enhance customer experiences, improve efficiency, and drive innovation, offering businesses a competitive edge. Key applications include personalized recommendations, predictive analytics, dynamic pricing, and fraud detection. The article also addresses challenges like data privacy, ethical concerns, technical barriers, and costs, while offering recommendations, best practices, and case studies. Additionally, it highlights future trends, such as sustainability and growing eco-friendly demands, providing valuable insights for businesses, developers, and consumers on AI and ML's impact on online retail.
How to Cite This Article
Prakash Veenam (2024).
E-Commerce Trends and Future Growth Prospects in the U.S.: Harnessing AI and ML for Expansion
. International Journal of Management and Organizational Research (IJMOR), 3(6), 57-65. DOI: https://doi.org/10.54660/IJMOR.2024.3.6.57-65