Logistics Pipeline I owned and executed design across all logistics surfaces—from facility-level dashboards to vehicle-level drilldowns—making location, condition, and dwell status actionable for regional teams.
The capability helped teams quickly identify exceptions, bottlenecks, and capacity constraints across facilities. Visualizations surfaced operational pressure points for faster coordination.
I was embedded with the product team to deliver the MVP and shape future product evolutions, working side by side with logistics stakeholders across import/export, rail, truck, and processing operations.
I led design thinking workshops to ensure the tool reflected real-world needs across roles and surfaced opportunities for continuous improvement.
Fig 1/4: Toyota Logistics Services pinpoints affected vehicles using geolocation data and real-time yard visibility.
Fig 2/4: Teams can assess facility conditions and view total inventory.
Fig 3/4: Vehicles at that facility can be viewed and used to generate vehicle reports.
Fig4/4 The evolving UI shell supported a growing information architecture and allowed for multiple contextual pane.
I partnered closely with technology and data teams to evolve the logistics map into a layered, exception-aware tool. By progressively introducing views for capacity, dwell, arrival, and holds—alongside volume-based indicators—we ensured teams across the supply chain could act on the data that mattered most, every step of the way.
At the tail end of my involvement with the logistics solution, I led early design efforts on a proof of concept in partnership with our technology teams.
This POC aimed to bring route-level data into the existing logistics pipeline experience, enabling users to layer route flows on top of facility-level insights. The goal was to expand the platform’s utility beyond monitoring and exception management, allowing route strategy and planning teams to leverage it.