DOI: https://doi.org/10.36719/2789-6919/54/83-87
Rahila Yusifova
Azerbaijan State University of Economics
Master’s student
https://orcid.org/0009-0001-2207-6036
yusifovarahile27@gmail.com
Applications of Artificial Intelligence in Electronic Commerce
Abstract
Artificial intelligence (AI) technologies have led to revolutionary changes in the field of e-commerce in recent years. Modern e-commerce platforms personalize the user experience, increase sales and optimize operational efficiency through AI algorithms. The application areas of AI are wide and mainly focus on personalized recommendations, chatbots and virtual customer services, price optimization, commerce analytics and predictive models. Personalized recommendations optimize product offerings based on users' previous viewing and purchasing behaviors, which ultimately leads to increased sales. Chatbots and virtual assistants, on the other hand, improve service quality and reduce operational costs by responding to customer inquiries immediately. AI also allows e-commerce platforms to dynamically determine pricing strategies. Predictive analytics and machine learning models adjust prices at an optimal level, taking into account sales trends, seasonal demand and competitor activity. At the same time, AI provides analysis of large amounts of data, increasing the effectiveness of inventory management, supply chain and marketing strategies. Studies show that the application of AI technologies is not limited to increasing sales and revenue, but also increases customer satisfaction, platform trust and competitiveness. However, issues such as protecting personal data and ensuring ethical principles still remain in the spotlight.
Keywords: artificial intelligence, technology, platform, commerce, electronic