Main Problem: The rapid growth of e-commerce in Uzbekistan presents challenges in business management, regulatory oversight, and the development of new operational models. Traditional regulatory and decision-making approaches are often inefficient in addressing the complexities of the digital economy. To enhance governance and improve market efficiency, the introduction of artificial intelligence (AI) is essential. Objective: This article examines the potential of AI in Uzbekistan’s e-commerce sector to optimize business management, create innovative models, and enhance government regulation. The study focuses on developing mathematical models for predicting trends and generating alternative management decisions using a knowledge base and principles of product logic. Methods: The research employs mathematical modeling techniques to design AI-driven predictive tools. These models utilize a knowledge base and product logic principles to support automated decision-making. Additionally, AI applications in state regulation are analyzed to evaluate their impact on market monitoring, violation detection, and administrative efficiency. Results and Their Significance: The study highlights that integrating AI into e-commerce regulation can significantly enhance market oversight, improve the detection and prevention of violations, and streamline administrative procedures. The implementation of a knowledge base and product logic principles enables automation, leading to more accurate and efficient decision-making. Ultimately, the study proposes modern e-commerce management methods that strengthen governance, support strategic development, and enhance regulatory effectiveness. These advancements contribute to the growth of Uzbekistan’s digital economy, creating a more favorable environment for businesses and consumers.