This article discusses how Amazon simulated its entire US inbound supply chain using agent-based modeling (ABM) and Simudyne's software development kit (SDK) on AWS. It highlights the complexity of Amazon's supply chain network and the need for optimization.

Specifically, the article covers:

• Overview of Amazon's complex inbound supply chain network in the US
• Benefits of using agent-based modeling for supply chain simulation
• Simudyne's SDK and Supply Chain Toolkit for building and visualizing supply chain simulations
• Running the supply chain simulation on AWS, leveraging powerful instances like r6a.32xlarge
• Insights and future plans for simulating the outbound network and exploring AI optimization