Lutskiy, M.2025-03-252025-03-252024Lutskiy, M. (2024). Forecasting of prices of investment assets based on machine learning methods. У А. А. Роскладка (Ред.), Інформаційно-аналітичні системи у цифровій економіці: Збірник наукових статей студентів (с. 70–74). Державний торговельно-економічний університет.https://ur.knute.edu.ua/handle/123456789/8040The 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.enAttribution 4.0 InternationalSkoda Spare PartsAuto Parts SalesDemand Forecastingзапасні частини SkodaПродаж автозапчастинПрогнозування попиту.Article