The “Support for Domestic Producers” case within Smart Data Ukimet aims at digitalizing and ensuring transparency in procurement processes. The unified analytics platform aggregates data on procurement contracts, long-term agreements, and imports, enabling a comprehensive view of business–government interactions. Thanks to Big Data and artificial intelligence technologies, the system identifies connections between producers and major customers, shows the level of dependence on imported supplies, and generates objective analytics on employment and payroll. This approach enables data-driven decision-making instead of relying on fragmented reports and ensures a level playing field for domestic producers.
The result has been the creation of a tool that makes government procurement transparent and predictable. In real time, it is possible to see which sectors receive support, where gaps remain, and which companies have the potential for import substitution. The system already covers a multi-year dataset and is used to generate forecasts based on machine learning algorithms. This enables the government to precisely stimulate industrial development, implement long-term support measures, and, in the long run, reduce the economy’s dependence on external supplies. Thus, the project becomes a model of digital industrial policy focused on sustainable development and the competitiveness of the national economy.