Approaches to improve the effectiveness of state regulation of e-commerce in Uzbekistan

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.