Development of a Probabilistic Model for Selecting a Partner Offer to a Client using Machine Learning Technologies

Abstract

The article describes the process of developing a model, the implementation of which will change the process of the work of the company’s specialists in selecting a partner offer to the client. A practical request for the development of the model was the fact that a huge amount of available information about the client, which affects decision-making to varying degrees, complicates its processing and increases the risks of making a biased decision. The theoretical significance of the research results lies in the presentation of a tool for making the right decision with a high degree of probability. We proceeded from the practice of implementing a business process, according to which the most time-consuming and risky stage of the selection process is the stage of forming the initial data sample. And they suggested using machine learning in order to simplify it significantly. The process of developing the model is presented in stages in this paper so that it can be reproduced and verified. The practical significance of this work is that the results obtained can be applied in the entire range of marketing services and can be used in companies working with large amounts of customer data.