Fleeton is a 6-month project sponsored by T-Mobile for Business, a 5G-powered system that reroutes last-mile deliveries in real time. Routes are planned before departure — but once drivers are on the road, ETA shifts, deviations, and stop delays pull that plan out of sync.
Engineering could compute a new route. I designed the layer that makes it usable at the wheel — helping drivers grasp what changed and what to do next in seconds, eyes on the road.
Last-mile delivery systems plan routes before departure, but cannot adapt to real-world execution.
When drivers face route deviations, stop delays, traffic changes, or unexpected incidents, the original route can quickly become outdated. Without timely updated guidance, drivers must handle these changes manually, increasing the risk of late deliveries and unreliable ETAs.
But "routes break" was our hypothesis, not yet a finding. Before designing anything, I needed to know exactly where they break — and for whom.
Fleets don't lack data. They lack interpretation the moment things change.
Primary
Interviews — T-Mobile network engineers & enterprise sales
[N] sessions · 10-question semi-structured protocol
Secondary
Frontline workflow reconstruction — UPS dispatch stack (ORION · DIAD · DMS)
Day-in-the-life journey map · 8 pain points — 4 dispatcher, 4 driver
Market
Competitive scan — Samsara, Motive, Verizon & AT&T fleet offerings
Positioned on cloud ↔ edge × dispatcher ↔ driver
We delivered Fleeton, a high-fidelity driver-facing MVP for real-time route execution. The experience helps drivers respond to route changes through focused alerts, synchronized task updates, and clear next-stop navigation.
