Coordinated agent crews for routing, exception handling, and carrier swap — with SLA-aware governance and zero breach incidents.
Logistics ops teams use LeafMesh ADK to coordinate AI agents across routing, exception handling, and vendor switching. Shared memory means every agent sees the same state of the world. SLA-aware policies auto-approve under threshold and escalate breaches. The result: 3 reroutes per day average with zero SLA breach incidents post-deployment.
Pattern
Routing agent + exception detector + reroute agent
Outcome
3 reroutes/day; zero SLA breaches
Pattern
Disruption monitor + vendor evaluator + contract enforcer
Outcome
Faster recovery from carrier issues
Pattern
Sensor agent + maintenance scheduler + parts agent
Outcome
Reduced unplanned downtime
Yes. LeafMesh agents call any system through tools (REST, GraphQL, gRPC). Many logistics deployments run agents that read from TMS/WMS, write to ERP, and coordinate through LeafMesh's shared memory.
SLAs are encoded as policies in YAML. The policy engine evaluates every agent decision against the SLA — under threshold it auto-approves, over threshold it escalates to human ops with the SLA reference and the agent's reasoning.
Talk to our team about your logistics use cases — or try the platform yourself.
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