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Abstract
This article analyzes the role of artificial intelligence and Big Data technologies in the development of digital trading systems and their impact on the economic efficiency of e-commerce. The study examines the mechanisms of implementing recommendation systems, Machine Learning, NLP-based chatbots, Computer Vision, predictive analytics, and intelligent logistics technologies in electronic commerce systems. Furthermore, the functional capabilities of an intelligent digital trading ecosystem consisting of Frontend, Mid-office, and Backend blocks are analyzed, and the significance of AI-based management systems in optimizing business processes is substantiated. The research findings indicate that artificial intelligence technologies are an important factor in improving e-commerce efficiency, providing personalized customer services, reducing logistics costs, and developing a competitive digital economy.
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