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Forecasting of prices of investment assets based on machine learning methods
(Державний торговельно-економічний університет, 2024) Lutskiy, M.
The article analyzes the potential of machine learning methods in predicting sales trends in the Skoda auto parts sector, examining factors such as historical sales data and customer behavior. The study also considers external influences like market trends, promotions, and the economic environment that affect demand for Skoda spare parts. Approaches to strategic decision-making were evaluated, with a focus on applying data-driven analysis to optimize inventory management and develop effective marketing strategies for improving sales performance in a competitive automotive sector.