Research on the price prediction in supply chain based on data mining technology

Through using data mining methods, we can find useful hidden trends and relationships in the mass data. This can help supply chain companies to improve the quality of decision-making on supply chain management with the gained knowledge. Take the supply chain product polyester filament as an example, through the influence factor analysis of polyester filament price; this paper uses data mining methods to predict the prices of polyester filament. The established predictive models and analytical results can be used in the supply chain enterprises and as the basis of macro-control on the chemical fiber industry of and relevant departments.