---
title: "Shipment exception routing: AI Use Case"
description: "Watch tracking and order data for shipments that are late, stuck or missing paperwork, and route each exception to the right coordinator with the order, carrier status and a suggested next step, before the customer has to ask."
url: https://lidvizion.ai/use-cases/shipment-exception-routing/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Use cases](https://lidvizion.ai/use-cases/) · Operations

# Shipment exception routing

Watch tracking and order data for shipments that are late, stuck or missing paperwork, and route each exception to the right coordinator with the order, carrier status and a suggested next step, before the customer has to ask.

[Talk through this workflow](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fuse-cases%2Fshipment-exception-routing%2F#write) · [Automate the repeatable](https://lidvizion.ai/services/automation/)

Where it starts

## The trigger.

A tracking update, missed milestone or missing document is detected on an open shipment.

How it runs today

- Coordinators find problems when a customer calls.
- Exceptions sit in shared inboxes without a clear owner.
- Each coordinator checks carrier sites and spreadsheets by hand.

The workflow

## Four bounded steps.

Each step has an owner and a stop rule.

1. 01 / Watch
   Compare tracking events and order milestones against expected times and required documents.
2. 02 / Detect
   Flag shipments that are late, stuck, damaged or missing paperwork.
3. 03 / Route
   Send each exception to the coordinator for that customer, lane or carrier, with the order details and carrier status attached.
4. 04 / Resolve
   The coordinator chooses the next step, such as contacting the carrier or the customer, and records the outcome.

Where people stay in control

## Approval points.

- Coordinators decide every action and every message to customers.
- Rules for what counts as an exception are agreed with operations leads.

How we would measure it

## Against a baseline.

Measured before and after, on the same work.

### Exceptions found before the customer reports them.

### Time from exception to owner assigned.

### Time to resolve exceptions.

Related

## Go deeper.

- [Automate the repeatable](https://lidvizion.ai/services/automation/): Give recurring work an owner, a trigger, and a stop rule.
- [Client vs. server: where code runs](https://lidvizion.ai/resources/basics/backend-client-vs-server/): What belongs in the browser or app, and what must stay on a server you control.
- [Catch shipment problems before customers do](https://lidvizion.ai/guides/catch-shipment-problems-before-customers-do/): A four-step playbook to define what counts as an exception, connect tracking and order data, route each exception to an owner with context and measure how many are caught early.
- [How to catch shipment exceptions with AI](https://lidvizion.ai/answers/how-to-catch-shipment-exceptions-with-ai/): How can a logistics or distribution team use AI to spot late, stuck or incomplete shipments before the customer calls?

More use cases

## Other places to start.

[All use cases](https://lidvizion.ai/use-cases/)

- [Supplier onboarding and document collection](https://lidvizion.ai/use-cases/supplier-onboarding/): Operations Collect the forms, certificates and bank details a new supplier must provide, check each item against your requirements, and chase what is missing, so purchasing can start sooner without skipping checks.
- [RFI and submittal tracking](https://lidvizion.ai/use-cases/rfi-and-submittal-tracking/): Operations Read incoming requests for information and submittals, log the key fields, track who owes a response and by when, and give the project team a short list of what is overdue each morning.
- [Program outcome reports](https://lidvizion.ai/use-cases/program-outcome-reports/): Operations Pull activity and outcome data from program systems, attendance records and surveys into a draft report for funders and the board, with every figure linked to its source, so the program lead reviews instead of compiling.

An illustrative workflow pattern, not a result from a specific customer.

Bring the messy version

## One workflow. A better way to run it.

Show us the tools, the handoffs, and the part that keeps slowing your team down.

[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)