MODELS AND ALGORITHMIC FRAMEWORK FOR INFORMATION EXCHANGE IN VIRTUAL PLATFORMS FOR LOCAL PRODUCT TRADING

This study is devoted to modeling and optimizing information exchange processes in a virtual platform for local product trade. The research object is the information flow within the digital platform, while the subject is the database model and its algorithmic support. The aim is to develop an optimization model under multi-constraint conditions. ER modeling, relational database design, indexing techniques, algorithmic analysis, and mixed-integer linear programming (MILP) were applied. The Time-Driven ABC approach was used to define cost drivers. The proposed solution improves information retrieval efficiency and reduces operational costs in digital logistics systems.