ПОДХОД BIG DATA В ГОСУДАРСТВЕННЫХ ЗАКУПКАХ: ИННОВАЦИОННЫЕ ТЕХНОЛОГИИ И ПРАКТИЧЕСКАЯ ЭФФЕКТИВНОСТЬ

Аннотация

This article examines the role of Big Data in public procurement processes and its significance for economic efficiency and anti-corruption measures. The study discusses the current state of electronic trading platforms introduced in Uzbekistan under the “Public Procurement” law, focusing on detecting deviations from market-based pricing and identifying “preferred supplier” practices at early stages. It shows how Big Data techniques enable real-time analysis of suppliers’ data, including the application of AI-based “red flag” alerts to prevent dumping or corrupt agreements. The findings indicate that Big Data methods can reduce the price differential, strengthen competition, and improve the effective utilization of budget funds in the public procurement system. Key words: public procurement, Big Data, electronic trading platforms, price differential, dumping, preferred supplier, anti-corruption, competition, artificial intelligence.