Supplier Risk & Procurement Graph
A graph-based approach connecting suppliers, parts, geographical risks, and lead times to predict supply bottlenecks using Graph ML.
By modeling the supply chain as a Knowledge Graph, we can move beyond simple dashboards. This proof-of-concept uses Graph Machine Learning (Graph ML) to predict potential bottlenecks by analyzing the complex web of suppliers, components, and geographical risk factors.
Work in progress — this project is currently in the conceptual design phase.