Orchestrating What’s Next in Supply Chain

The supply chain is becoming a proving ground for real-world AI agent innovation, and no one’s waiting on the sidelines. In this live panel hosted by Project44, we’re bringing together three of our agent partners: Vooma, HappyRobot, and LunaPath, for a lively, unscripted conversation on how AI agents are transforming the way logistics, operations, and customer experience work across the value chain. 

You’ll hear directly from the teams building and deploying these intelligent systems every day. Each partner will share their most innovative use cases, customer success stories, and the hard lessons they’ve learned while scaling AI in complex, real-world supply chains. Together, we’ll discuss multi-agent orchestration, collaboration wins and challenges, and share a glimpse into where this fast moving space is headed next.

Whether you’re exploring AI agents or already running them in production, you’ll leave with a sharper view of what’s possible today and what’s just around the corner.

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