The article sets the scientific task of creating a model of digitization of the business process of hardware procurement management for IT companies. The relevance and practical value of such a model is emphasized. Scientific studies on the optimization and digitization of the business process of procurement management in various industries have been reviewed and analyzed. The analysis of the following models and methods that can be used in the construction of an integral model was carried out: a multi-criteria mathematical model of supplier selection, an adaptive convolution method, a controlling method, an optimization model of cost determination, a threshold delivery point model. Based on the analysis, a model of digitalization of the business process of hardware procurement management for IT companies was developed. The following model structure is proposed: the company's internal database; software module for analyzing the current state of material resources (hardware); external sources of hardware; program-algorithm for finding offers of necessary hardware; configuration data to determine hardware compliance with IT company requirements; a module for processing existing proposals based on an artificial neural network; graphic interface of interaction with the system; integration layers. The product that implements the created model has been identified – it is a decision support system for IT company purchases based on an artificial neural network. A functional description of each of the modules of the future system has been made. Recommendations on the application of the analyzed models of algorithms and methods in the implementation of the software product have been developed. A conclusion was made regarding the proposed model, its integrity, flexibility, and scalability were emphasized. The direction of further research is formulated - the detailing of each layer of the digitalization model of the business process of hardware procurement for an IT company.
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