The global supply chain for critical technologies (semiconductors, aerospace, defense systems) is increasingly fragmented. Traditional "Just-in-Time" (JIT) manufacturing models have failed to account for geopolitical disruptions, leading to a "Capital-Efficiency Gap in Critical Infrastructure" where assets cannot be completed due to missing components.
This research directly addresses the vulnerabilities identified in Executive Order 14017 (America’s Supply Chains), specifically the need for "data-driven monitoring" of the defense industrial base. By automating the detection of upstream risks, the platform serves as a force multiplier for national industrial resilience.
Current ERP systems (SAP, Oracle) are reactive. They manage internal inventory but lack "peripheral vision"—the ability to detect external distress signals (e.g., a grant for a supplier's competitor, a regulatory fine, or a sudden policy shift) before a disruption occurs.
This research proposes GovSignal-Connect, an autonomous agent system that monitors unstructured government data (SAM.gov, Federal Register, State Economic Development boards) to predict supply chain demand shifts and automate capital allocation decisions.