Intellectualization of decision-making in the procurement of products using a search agent in multivariate analysis of product attributes

The relevance of this study is determined by the need to develop methods for using significant volumes of text information in making management decisions. Therefore, the article aims to identify the key factors and features of intelligent software agents used to search for and process information from open sources. The factors influencing the adoption of management decisions when allocating resources for the purchase of products are considered. A situation of information search in a limited time period is defined, which leads to making a management decision under conditions of incomplete information about products. Descriptions of information search without the use of an intelligent search agent and with the use of an intelligent search agent are proposed. Requirements for the used search agent are defined, consisting of information search accuracy, information search time limitation, and resource limitation for search agent development. Formalized descriptions of the choice of the used artificial intelligence model, requirements for decision-making time, requirements for accuracy and time spent on text information search, as well as an assessment of the cost indicator for developing a search agent are proposed. The implementation of the proposed search agent model was tested on 100 product names related to numerically controlled equipment. Relationships were identified between the number of known attributes and the accuracy of finding new attributes.

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