Russian Federation
Russian Federation
This article examines the development and implementation of data-based decision support systems (DSS) in retail. Key components of the analytical system architecture are presented, including data collection, storage, and processing, as well as the integration of demand forecasting algorithms. The system's functional capabilities, aimed at improving the efficiency of inventory management, pricing, and logistics, are described. It is shown that the use of analytical tools within a corporate information environment contributes to increased accuracy of management decisions and a reduction in operating costs.
information system, decision support, retail, data analysis, business analytics, demand forecasting, automation
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