Orchestrating What’s Next in Supply Chain

AI agents are evolving rapidly, each capable of handling specific, discrete tasks. The next frontier is orchestration: enabling these agents to collaborate, communicate, and make coordinated decisions across the end-to-end supply chain. This session explores how multi-agent systems are changing what’s possible in supply chain operations and how the logistics holy grail—a predictive, self-optimizing supply chain is closer than ever before.

What You’ll Learn:

• The difference between AI capabilities, AI Agents, and Multi-Agent Orchestration
• How agents are executing concrete use cases to deliver real value today
• Which foundational capabilities (visibility, data integration, execution, and more) must be in place for multi-agent systems to deliver value and how to assess your organizations readiness
• What supply chain leaders should consider now to prepare for multi-agent ecosystems

Go behind the scenes of project44’s Decision Intelligence platform to see multi-agent orchestration in action. In this technical deep dive, you’ll see real use cases in action where AI agents collaborate to detect disruptions, assess impact, correct data quality issues, and orchestrate resolution—all in real time.

This isn’t a conceptual overview. It’s a live demonstration of how autonomous agents transform supply chain operations from reactive firefighting to predictive execution.

What You’ll Learn:

• How platform capabilities like AI Disruption Navigator and Collaboration use agents to detect issues, trigger exceptions, communicate and resolve or escalate issues
• Which data quality issues agents can fix automatically and how this impacts forecast accuracy and service levels
• How multi-agent orchestration executes complex workflows while still empowering supply chain leaders to make the decisions that matter
• What specific KPIs early adopters are measuring: time to resolve exceptions, manual effort elimination, and cost avoidance