A method of intelligent support for management decisions based on scoring analysis of tender applications

The paper considers an approach to automating the evaluation of tender applications using an intelligent decision support algorithm based on a scoring model. The algorithm is implemented using logistic regression and ROC analysis, which allows for a quantitative assessment of the relevance of tenders. The model has been tested on historical data from a software company that participated in government and commercial procurement. The paper confirms the feasibility of using a scoring approach to improve the efficiency of selecting tenders. The proposed method is expected to be expanded to other procurement segments that require an intelligent assessment of the relevance of proposals.