All projectsAutonomous Logistics Simulator

Bell Textron / Autonomous Logistics Simulator

Making autonomous logistics tangible.

A complex aviation vision needed a shared way to explore it. We designed a simulator that brings fleet configuration, mission planning, and operational analysis into one experience.

Our role
Product strategy, interface design, and simulation experience
Product strategyUX/UI designSimulation
Making autonomous logistics tangible. · 1:00
01 / The challenge

A fleet is more than a collection of aircraft.

  • Mixed vehicle types
  • Terrain and route constraints
  • Operational and financial tradeoffs

Bell needed to demonstrate how different aircraft could work together across a logistics network. The experience had to make range, payload, routes, and handoffs understandable to people with different levels of technical expertise.

We approached the simulator as a decision-making experience: configure a scenario, see how it behaves, then inspect its implications. The interface needed to support exploration while keeping the mission in view.

02 / Design decisions

Inside the experience.

The choices that connect the product to the people using it.

01 / Configure

Start with the mission, then build the fleet.

Aircraft capabilities and location constraints can become disconnected lists of technical inputs.

We brought fleet setup and the geographic network into a shared planning view. A scenario can be explored in the context of the places it needs to serve.

Choosing the operating region establishes the context for the mission.
  1. Geographic context comes first.
  2. Fleet configuration stays connected to the operating network.

What this makes possibleA common starting point for technical teams and decision-makers.

02 / Simulate

Make coordination visible.

A route diagram alone cannot explain how several vehicles behave together over time.

The simulation pairs spatial visualization with operational controls, so the viewer can follow a mission rather than reconstruct it from separate reports.

The simulation presents the mission as an unfolding operation.
  1. The spatial view explains movement and relationships.
  2. Operational controls provide a way to inspect the scenario.

What this makes possibleThe behavior of the network becomes something people can discuss together.

03 / Evaluate

Connect the scenario to its tradeoffs.

A compelling visual demonstration still needs a way to examine operational and cost implications.

We gave analysis its own clear view, connecting scenario planning with the metrics needed to compare options.

Scenario analytics gives the team a place to examine the model behind the mission.
  1. Cost breakdowns are grouped for comparison.
  2. Operational analysis complements the simulation.

What this makes possibleA clearer bridge between an aviation concept and the decisions around it.

03 / The result

A clearer product foundation.

The work turns a complex system into a product people can explore, demonstrate, and evaluate together.

01

Shared mission context

Fleet setup, network planning, and simulation sit within one product experience.

02

Visible tradeoffs

Scenario analytics makes operational and financial considerations available alongside the model.

03

A platform for exploration

The experience supports conversations about future fleet concepts and logistics networks.

Explore the project scope

Experience

  • Geographic planning
  • Fleet configuration
  • 3D simulation

Analysis

  • Scenario comparison
  • Operational metrics
  • Cost breakdowns
The customer perspective
This isn't just a demo—it's the bridge between Bell's vision and the world's confidence in deploying autonomous logistics at scale.
Director of Autonomous Systems · BellNov 2025
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