Research on Supply Chain Risk Control Strategy Based on Artificial Intelligence Technology: Multi - level Risk Management and Optimization Methods

In this study, AI driven multi-layer supply chain risk management system is developed for solving complex risk cases. This is the system that integrates three major technologies, machine learning, deep learning, and optimization algorithm, to monitor risks in real time, to quickly assess impacts, and to automatically formulate countermeasures.Global electronics manufacturer case study proves that the suggested approach enables the reduction of losses from disruption level by 35% and augments decision efficiency by 50% through supplier portfolio optimization and logistics route planning. Quantitative models and comparisons of algorithm performance also validate the effectiveness of the framework. The research identifies the role of AI technologies in increasing supply chain resilience and offers insights that are actionable for industrial applications.