DSS and Optimization of Procurement Logistics: Are Technologies Always More Effective than Experience?

The article discusses the implementation of decision support systems in the field of procurement logistics, with a focus on their potential to optimize costs. The authors examined the relationships between using digital tools and the practical experience of specialists, questioning the universal advantage of this technology. In today’s unstable market, where flexibility and responsiveness are key success factors, most companies face a dilemma: whether to rely on automated systems or trust the decisions of professionals with deep knowledge of supply specifics. The article considers the functional capabilities of modern decision support systems, their effectiveness compared to expert approaches, and potential risks. Based on the analysis, practical recommendations were developed for the harmonious integration of technology into procurement activities. The aim of the study was to identify the limits of effectiveness and assess the impact on the costs of decision support systems in the context of procurement logistics, as well as to determine situations where human expertise is critically important and may surpass automated solutions. The article examines typical decision-making scenarios, the cost aspects of using digital systems, the influence of DSS on the speed and accuracy of decisions in procurement processes, and the risks associated with excessive automation. Despite the active implementation of DSS in procurement logistics, the expected benefits of automation are often not realized. Data scarcity and instability, rapid market dynamics, and human factors can nullify the advantages of digital solutions. Sometimes excessive technologization leads to increased costs, lost flexibility, and the neglect of expert experience. This underscores the need to reconsider the role of DSS as a tool that should complement, rather than replace, human involvement.