Routing a delivery exception to the right person instead of a shared inbox
Agentic automation for freight and logistics exception handling, integrated directly into existing TMS and ERP systems

These figures match the published metrics on the AI Agents & Intelligent Automation product page — this walkthrough is a composite scenario, not a specific engagement.
Agentic automation for freight and logistics exception handling, integrated directly into existing TMS and ERP systems
Segment: Freight operations exception handling
Freight operations teams handle a steady stream of exceptions that arrive as emails, portal notifications, or system alerts — and most still get triaged by a person scanning an inbox and deciding who should look at it. Low-impact cases eat the same attention as high-impact ones, follow-up on open cases is inconsistent, and by the time a pattern of recurring exceptions becomes visible, it's usually because a customer complained about it first.
How the deployment was structured

Cases created automatically
Incoming emails, portal events, and system alerts are turned into structured cases automatically, with the required tasks created and the process advanced against approved business rules.
Connected to the systems already in use
API-first integration connects the agent to the TMS, ERP, and ticketing systems already in place, without asking teams to adopt a new system of record.
Ambiguous cases go to a person
The agent monitors deadlines and requests missing information on its own, but routes ambiguous or high-impact exceptions to accountable staff rather than resolving them unsupervised.
Every action logged
Approval gates and role-based permissions keep consequential actions under human control, and every action and its source are logged end to end.
Having exceptions triaged and routed automatically — with a person still deciding anything ambiguous or high-impact — is what stops recurring exceptions from surfacing for the first time in a customer complaint.
Other use cases
All use cases
Cutting damage claims and load time across a multi-site grocery network
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Holding a 98%+ on-time rate through a mixed van and cargo-bike last-mile fleet
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Arbitrating a dry-season shortage across municipal, agricultural, and industrial demand
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