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Flexport

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Tell us about an AI product you shipped and how you measured whether it worked.

The role owns a critical part of global logistics and ships features that drive measurable business outcomes.

I shipped an AI triage feature for the exceptions desk that suggests a category and next step for every exception.

I set up the evaluation using 400 past exceptions labelled by two senior dispatchers as a test set.

The first version got 71 percent of categories right, which was not good enough to ship because a wrong category sends the ticket to the wrong team.

We changed it to suggest only when confident, reaching 92 percent accuracy on 64 percent of tickets.

A six-week pilot with three customers cut median time to first action from 19 minutes to 11 minutes.

A weekly human review of 30 suggestions caught a systematic mislabel of weather delays as carrier faults.

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