Flexport
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.