Supporting management decisions in the tender procurement system: Challenges of digital transformation

Abstract

Tender procurement distributes public and corporate orders and affects markets and sectoral development. Its growing scale and requirements increase suppliers’ information burden when selecting relevant tenders. Despite the development of electronic platforms and integration with government systems, a gap remains between operational automation and intelligent decision support. This study aims to identify constraints on the digital transformation of tender systems and problems in assessing procedure relevance, and to develop a conceptual approach to intellectualizing tender specialists’ work. It compares national models of major economies and Russian digital solutions: aggregators, counterparty analysis services, and intelligent tools. These solutions optimize individual stages but do not provide a comprehensive multi-criteria relevance model that accounts for strategic goals, resources, and the economic feasibility of participation. A conceptual model of a tender specialist’s digital twin is proposed, representing procurement selection as a sequence of interrelated functions. The results substantiate the need to transition from procedural digitalization to the intellectualization of the management framework and indicate a direction for further research. They may be useful to developers of tender aggregators and corporate decision support systems.