Public procurement plays a critical role in government operations, ensuring the efficient allocation of resources and fostering economic growth. However, traditional procurement data is often stored in rigid, tabular formats, limiting its analytical potential and hindering transparency. This research presents a methodological framework for transforming structured procurement data into a semantic knowledge graph, leveraging ontological modeling and automated data transformation techniques. By integrating RDF and SPARQL-based querying, the system enhances the accessibility and interpretability of procurement records, enabling complex semantic queries and advanced analytics. Furthermore, by incorporating machine learning-driven predictive modeling, the system extends beyond conventional data analysis, offering insights into procurement trends and risk assessment. This work contributes to the broader field of public procurement intelligence by improving data transparency, supporting evidence-based decision-making, and enabling in-depth analysis of procurement activities in North Macedonia.

Basic machine learning technology is already used by some procurement applications in areas such as spend analytics and contract analytics. This is mostly limited to automating the processes of collecting, cleaning, classifying and analyzing expenditure data in an organization -- to identify savings or paths to greater efficiency. Today, procurement technology vendors are creating cognitive procurement advisors (CPAs) and virtual personal assistants (VPAs) that use natural-language processing (NLP) and natural-language generation to further increase automation and efficiency. "A procurement VPA can improve the end-user experience of traditional procurement tools and increase spend under management by guiding people to the correct purchasing tool," said Magnus Bergfors, research director at Gartner. "A CPA can provide summaries, recommendations and advice in everything from supplier assessments and performance management, to risk management and compliance."

Every year we see more companies seeking out competitive advantages by investing in their supply chain operations. Companies are at different stages. Some may be implementing software to help them streamline processes in-house for the first time. But other, more mature companies are going through total procurement transformation across people, process, performance metrics and tools in the search for the ultimate "procurement roadmap". Whatever stage you're at, it's worth keeping an eye on the current procurement trends to make sure you're ready for the next big disruption.