Research on the effectiveness of methods adaptive management of the enterprise's goods sales using machine learning methods

Machine learning methods, which are used in the framework of predicting the solution of methods of adaptive management of the enterprise's goods sales, have been analyzed. Conduct an analysis of input data obtained during the operation of one enterprise. With the help of input data, train and conduct machine learning simulations with K-Nearest Neighbors, Support Vector Machines classifiers; Decision Tree Classifier, Random Forests; Naive Bayes; linear discriminant analysis, and Logistic Regression. The most significant factors influencing the client's decision to purchase goods have been identified. The study proposed a business process scenario for solving the problem of increasing the company's profit based on machine learning technology. The performance of the proposed methods was verified on a test sample of data.