COMMODITY SCIENCE FOUNDATIONS OF ONLINE TRADE
Abstract
Introduction. Online trade has evolved significantly, becoming an integral part of the global economy. It represents a complex system that encompasses trading platforms, social networks, delivery services, online marketplaces, and analytical tools based on cloud computing, big data, and artificial intelligence. The relevance of studying the commodity science foundations of online trade is driven by large-scale transformations in trade formats and operations under digital interaction conditions.
Methods. The research is based on a systematic approach that integrates quantitative and qualitative analysis methods. Specifically, statistical analysis is used to assess the state and trends of online trade, while abstract reasoning and generalization help define key concepts and their characteristics. Additionally, methods of analysis and synthesis, observation, and comparison are applied to contrast traditional and online trade.
Results. The study highlights the distinctive features of commodity science in online trade, where traditional approaches based on direct physical interaction with goods lose relevance. The transformation of commodity science principles in e-commerce is examined, emphasizing the shift toward virtual product presentation, instant access to a full product range, and the growing role of visual content and informational support in product identification and quality assessment. The study explores the unique characteristics of goods in online trade, identifies key parameters distinguishing e-commerce from traditional trade, and substantiates the need to update the methodological framework of commodity science to ensure effective quality management in the digital environment.
Discussion. Future research should focus on evaluating the potential of digital technologies in solving commodity science challenges in online trade. Key directions include an in-depth analysis of digital verification processes for product attributes, enhancement of tracking systems for product origin, and the development of effective mechanisms for monitoring customer reviews and recommendations on e-commerce platforms.
Keywords
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