How to coordinate multiple AI agents for end-to-end logistics automation?

Trying to automate our warehouse-to-delivery pipeline. Need AI agents handling inventory prediction, shipping route optimization, and customer comms. Right now we’re using separate tools that don’t talk to each other, leading to stock mismatches. Anyone solved agent orchestration where different AI systems collaborate effectively? Prefer solutions with visual workflow builders.

Built this exact system using Autonomous AI Teams. Created ‘Warehouse Manager’ and ‘Logistics Coordinator’ agents that share data through a central board. Visual builder made it easy to connect inventory API to route optimization model. Full solution took 3 days to prototype.

Try using a platform with agent-to-agent messaging. We use a pub/sub system where agents post updates others subscribe to. keeps everyone synced without direct integrations.

Central data lake + standardized API schema. Make all agents read/write to same datastore with version control.

We used a low-code platform to create a master workflow that triggers different agents based on inventory events. Key was setting up a dead-letter queue for failed handoffs between systems. Still requires some error handling for edge cases.