Research on Real-Time Data Monitoring and Feedback Mechanism in Supply Chain Management System

Abstract

Amid the growing complexity of dynamic supply chains, the development of real-time data monitoring and intelligent feedback systems has become essential. This paper mainly focuses on three aspects: data visualization, artificial intelligence-assisted decision-making, and blockchain-based security assurance. It introduces a systematic approach to monitoring the supply chain, and explores the intelligent development of feedback system in detail by adopting reinforcement learning, Internet of Things, and distributed ledger. The integration of intelligent warehousing, logistics matching, risk early warning, and demand alignment underscores the critical need for a real-time monitoring and feedback system. This enables enhanced supply chain resilience and more informed decision-making.