Improving comprehensive monitoring of cash flows in the treasury through intelligent information fusion systems applications

Abstract

This paper explores the application of intelligent information fusion systems in improving the comprehensive
monitoring of cash flows within treasury operations. As the digitalization of financial management continues, the integration
of these advanced systems has become essential for enhancing transparency, efficiency, and control in cash flow
management. The study reviews key theoretical frameworks, such as free cash flow theory, and practical applications of
AI and machine learning in optimizing financial processes. The paper also highlights the contributions of Uzbek scholars
in integrating intelligent systems into public financial management to ensure greater accuracy and accountability in government
treasuries. The findings suggest that intelligent information fusion systems can significantly improve real-time
monitoring capabilities and streamline cash flow operations in treasury departments.