Optimizing Supply Chain Demand Forecasting and Inventory Management Using Large Language Models

Tianyu Lu , Emily Garcia, Jackson Lee

This paper explores the potential for optimizing the Internet of Things by integrating machine learning and computer vision technologies and its implications for U.S. national security and economic competitiveness. First, the application of machine learning in IoT device optimization is introduced, emphasizing its ability to improve system intelligence and efficiency. Secondly, the critical role of computer vision technology in monitoring and reacting to changes in the physical environment is discussed, especially in security applications, such as the protection of national infrastructure and border security. Finally, the strategic significance of integrating these technologies in national security strategy and economic development is analyzed, and the direction and challenge of future research are put forward.

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