Forecasting demand in the market of road construction equipment using data mining

The development of the digital economy, a high level uncertainty in external environment, political and economic conflicts, changes global commodity markets dictate need to develop apply new methods for managing socio-economic systems, among which tasks forecasting demand are most significant complex. From accuracy determining market share assessing factors competitiveness depend not only on indicators use enterprise's resource potential, its liquidity profitability, but also strategic efficiency sustainability. purpose study is test method at an industrial enterprise using data mining method, makes it possible take preventive management actions consumer characteristics product order achieve target share. Materials methods: logical induction deduction, analysis synthesis, statistical analysis, mathematical modeling, mining, building decision trees. paper considers key features, main approaches enterprises modern conditions, used forecast unstable environment; expediency solving problems substantiated. Used software Deductor, See5, WizWhy. Results. A has been developed enterprise, based – trees automatic systems. feature universal nature can be build forecasts various industries. Conclusion. practical significance lies possibility making organizational managerial decisions aimed changing properties products, implementation will allow reaching specified values compe¬titiveness products road construction equipment have identified; recommendations given further volume demand. Approbation was carried out Russian equipment. possibilities programs WizWhy, Deductor See5 within framework practice considered conclusions drawn about reliability results obtained with their use.