METHODOLOGY FOR DEVELOPING E-COMMERCE BASED ON ARTIFICIAL INTELLIGENCE IN THE DIGITAL ECONOMY AND ASSESSING RISKS

Authors

DOI:

https://doi.org/10.60078/3060-4842-2026-vol3-iss3-pp11-17

Abstract

In this article, a multifactor econometric model was developed to forecast the volume of e-commerce services in Uzbekistan and its reliability was assessed based on relevant statistical approaches. The study analyzed the impact of factors through elasticity indicators and determined the degree of their impact on the resulting indicator. Also, the future development prospects of e-commerce were forecasted based on pessimistic, inertial and optimistic scenarios, and the growth trends of the industry were substantiated

Keywords:

e-commerce Big Data artificial intelligence text-mining customer satisfaction risk analysis digital logistics

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Aripov , U. (2026). METHODOLOGY FOR DEVELOPING E-COMMERCE BASED ON ARTIFICIAL INTELLIGENCE IN THE DIGITAL ECONOMY AND ASSESSING RISKS. Advanced Economics and Pedagogical Technologies, 3(3), 11-17. https://doi.org/10.60078/3060-4842-2026-vol3-iss3-pp11-17