Published Paper Details:

E-commerce has witnessed rapid advancements over the past decade, particularly in the post-COVID era. The increasing competition in the sector and the emergence of new technological innovations have compelled e-commerce businesses to integrate artificial intelligence (AI) to maintain a competitive edge. AI encompasses a range of technologies that enable machines to mimic human cognitive functions, offering solutions with higher levels of intelligence. This includes the use of machine learning algorithms, natural language processing, computer vision, and advanced tools such as virtual try-ons, AI-powered shopping assistants, and automation, all of which have significantly transformed consumer shopping experiences by enhancing recommendation systems and personalizing user interactions. Beyond improving user engagement, AI also provides businesses with opportunities to enhance operational efficiency, boost sales, and reduce costs through innovations in inventory management and supply chain optimization. This paper examines emerging trends in AI technologies within e-commerce, highlights their key benefits, and discusses challenges such as implementation costs, privacy concerns, and algorithmic biases. Addressing these challenges is crucial for ensuring the successful deployment of AI in the rapidly evolving e-commerce landscape.