MODEL OF INFORMATION EXCHANGE PROCESSES IN LOCAL PRODUCT TRADE ON A VIRTUAL PLATFORM
DOI:
https://doi.org/10.65164/wc0e9q50Keywords:
artificial intelligence, virtual platform, trade of local products, information exchange, logistics, model, algorithm, monitoring, forecasting, digital technologiesAbstract
This thesis investigates the issues of modelling and algorithmic design of information exchange and logistics processes in the trade of local products on a virtual platform based on artificial intelligence. In the context of the digital economy, the rapid and reliable management of data flows among trade entities, logistics operators, and customers is an important prerequisite for platform efficiency. The thesis proposes a conceptual model based on the integration of information flows, orders, inventories, and delivery processes within a unified digital environment. In addition, an algorithmic solution is developed for demand forecasting, identification of logistics risks, selection of optimal delivery options, and order monitoring. The application of artificial intelligence makes it possible to increase the speed of information exchange, reduce logistics costs, improve service quality, and ensure the efficient distribution of local products in the domestic market.
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