In the previous section of this series, we demonstrated that Artificial Intelligence can calculate the P&L impact of component obsolescence. This was achieved by isolating the semantic inference module from execution, using deterministic SQL tools. However, running a Python script locally in a terminal is not suitable for production. Product Discontinuance Notices (PDNs) arrive continuously across global time zones. Supply chain operations require a centralized, continuous, and scalable system. To achieve production readiness, the architecture must transition to an Event-Driven Architecture (EDA) . Blueprint Topology: Legacy Vectors vs. Modern API Frameworks At the architectural level, supply chain logistics systems must accommodate two distinct alert ingestion methods: The Modern API Vector (B2B SaaS): Commercial component lifecycle management tools, such as SiliconExpert or Accuris, provide structured data. These platforms dispatch standardized JSON payloads detailing market lifecycle transitions.…