Using the Fuel Card Policy Simulator

The Fuel Card Policy Simulator helps you test different fueling strategies before implementing them. This tool lets you model various scenarios to optimize your fuel spending.

What Is the Policy Simulator?

The Policy Simulator is a forecasting tool that models your fleet's fuel costs under different policy scenarios. You can adjust variables and see projected savings or costs before rolling out changes across your fleet.

Setting Up a Simulation

Step 1: Select Base Parameters

• Time period: Choose the date range for your simulation
• Fleet scope: Select which trucks to include
• Current policy: Your existing fueling rules

Step 2: Define Your Test Policy

Adjust one or more variables:

• Preferred networks: Which fuel providers to prioritize
• Price thresholds: Maximum prices you'll accept
• Detour limits: How far off-route drivers can go to find cheaper fuel
• Tank fill levels: Target fuel levels for refueling

Step 3: Review Projections

Compare your current policy against the test policy:

• Projected cost savings: Total and per-gallon
• Driver impact: Changes to driver workflow and stop count
• Route impact: Changes to overall route efficiency
• Implementation ease: Complexity of rolling out the new policy

Example Scenarios

Scenario 1: Consolidate to Two Networks

Test limiting fueling to your top 2 discounted networks to maximize volume.

Expected outcome: Higher discount rates, fewer network options, slightly longer stops.

Scenario 2: Raise Price Threshold

Allow drivers to fuel at locations with higher prices if they reduce detours.

Expected outcome: Shorter routes, potentially higher per-gallon cost.

Scenario 3: Dynamic Fill Levels

Adjust target fill levels based on truck load and remaining miles.

Expected outcome: More frequent stops, better fuel economy, lower risk of running empty.

Interpreting Results

The simulator shows three key metrics:

• Net savings: Total projected savings vs. current policy
• Break-even point: When operational costs offset fuel savings
• Risk score: Likelihood of policy conflicts with driver preferences

Rolling Out Your Policy

Once you've found an optimal policy:

1. Review the "Implementation Guide" in your simulation
2. Brief your dispatch team on new rules
3. Monitor the first week with real data
4. Adjust parameters if needed based on actual results