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Gartner forecasts agentic AI spending in Supply Chain software will reach $53 billion by 2030

MGI and Shanghai AI Laboratory launch agents that connect laboratory planning to physical execution

GreyOrange Positions GreyMatter as a Multi-Agent Control Layer for Warehouse Execution

Data Science Expert (Domain Models) – Data Labs

Supply Chain AI Lead (SCM)

RISK: AI agents should not run supply chains without physical context and human oversight

WARNING: Specialized planning agents can multiply faster than their governance model

Multi-agent Supply Chains need coordination economics, not just specialised agents

Multi-agent supply-chain AI may require satisficing rather than local optimization

Multi-agent supply chains need a control plane before they need more agents

AWS architecture moves multi-agent supply-chain AI from dashboards toward actions

Flowr: agentic AI for large-scale retail supply-chain operations

Autonomous supply-chain technology creates a coordination problem before it creates autonomy

Five-agent S&OP simulation shows why local optimization can destroy enterprise value

SmartFactory architecture puts agentic AI on top of standardized industrial semantics

Reinforcement Learning-Based Multi-Agent Simulation for Smart S&OP

From Open-Source Multi-Agent Control Tower to Governed Supply Chain Decision App

Experiment: Build a Supply Chain as a Service company with OpenOPC

DeepVu

Koen Wijnen