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Ideas
Logistics

Clear shipment exceptions before customers notice

A global 3PL logistics operator

A third-party logistics operator handling shipment exceptions by hand across many systems could automate the routine ones. The idea: an agent that watches shipments, reads the documents, resolves routine exceptions, and keeps customers updated on its own.

58%
target: exceptions resolved without a person
3 hrs
target: admin removed per coordinator daily
real-time
shipment visibility for customers

The opportunity

Shipments throw up exceptions all day: delays, missing documents, customs holds, address problems. Staff chase them across a TMS, EDI feeds, email, and spreadsheets, so issues get caught late and customers have to ask for updates. The same routine exceptions come back every day and never get automated. That is the opportunity.

Target outcome

58%

target: exceptions resolved without a person

6 weeks to pilot
The build

What we would build

No black box. These are the concrete pieces we would put in place, in the order they matter, with a human in the loop wherever the stakes are high.

  1. 1

    Wire the agent into the TMS and EDI feeds so it sees every exception the moment it appears

  2. 2

    Build document reading for proof-of-delivery, customs paperwork, and carrier notices to fill in the missing facts

  3. 3

    Automate the routine resolutions: re-rate, re-route, request a document, and update the record

  4. 4

    Draft proactive customer updates in the operator's voice for the cases that warrant a message

  5. 5

    Escalate genuinely complex exceptions to a coordinator with the full timeline and a suggested next step

Target outcomes
58%
target: exceptions resolved without a person
3 hrs
target: admin removed per coordinator daily
real-time
shipment visibility for customers

Representative stack

Python LangGraph Anthropic Claude OpenAI Qdrant Temporal Postgres

We choose tools to fit the job and your constraints, and favor open-source and local options where they fit. We are not tied to any one vendor.

Time to value

6 weeks to pilot

We start narrow, prove the result against your real baseline, and expand once it holds.

Want to put this idea to work in your business?

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