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LogisticsAIAvailable now

Check transport documents faster.

See source documents beside extracted fields. Keep uncertain data for human review.

LogisticsAI product page showing a transport permit beside extracted fields for review
Who it is for

For transport and operations teams that handle the same document work every day.

Why it matters

Important details arrive in different files. People copy fields between documents and systems, then check the same information again.

The approach

LogisticsAI explores controlled extraction: bring source documents and proposed fields together, keep uncertain values visible, and let a person approve the result.

What you can do

  • Review extracted fields beside their source.

  • Keep unclear values in the human review queue.

  • Start with one document workflow before expanding.

The user journey

  1. Choose a transport document workflow.

  2. Inspect the working example and its source evidence.

  3. Discuss how that workflow fits your own documents.

Available now

Current state

The public examples demonstrate the approach. They do not claim that every transport workflow is already automated for every team.

Common questions

Does it remove human review?

No. The examples keep review and approval with the operations team, especially when source data is unclear.

Can I discuss my own workflow?

Yes. The product site has a workflow assessment route for teams with their own documents and systems.

The build story

All project reports

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