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Last Mile Delivery Capacity Estimator

The Last Mile Delivery Capacity Estimator estimates how many completed deliveries a fleet can support in a working day or shift. It combines active vehicles, average route hours, stops completed per vehicle-hour, and an availability factor that reduces nominal fleet time for expected operational losses.

Dispatchers and delivery planners can use the estimate for rough volume-to-resource matching before route construction. Actual capacity can differ when geography, parcel mix, traffic, customer time windows, driver rules, or failed delivery attempts materially change the achievable stops per hour.

Inputs

vehicles
hr
stops/hr
%
Result
—
completed delivery stops per operating window
Gross theoretical stops—
Effective vehicle-hours—
Effective stops per vehicle—

1. Enter active vehicles
Use the number of delivery vehicles expected to be assigned and usable in the operating window.

2. Set route hours
Enter average route time available per active vehicle.

3. Enter observed stop rate
Use completed delivery stops per vehicle-hour for a comparable service area and operating pattern.

4. Apply fleet availability
Reduce scheduled fleet hours for the portion expected to be unavailable or unusable.

5. Compare with planned volume
Use estimated stop capacity as a planning check before detailed routing and time-window constraints are applied.

Scheduled vehicle-hours = Active vehicles × Route hours per vehicle Effective vehicle-hours = Scheduled vehicle-hours × Fleet availability (%) ÷ 100 Delivery capacity = Effective vehicle-hours × Completed stops per vehicle-hour

Where:

  • Active vehicles = vehicles assigned to last-mile routes
  • Route hours per vehicle = average planned working hours available for route activity
  • Completed stops per vehicle-hour = observed or assumed delivery productivity
  • Fleet availability = share of scheduled vehicle time expected to be usable

Assumptions: The stop rate is treated as a stable average and availability is spread uniformly across the operating window. Detailed route constraints are not modeled.

What the result means

The main result is estimated last-mile capacity. Use the accompanying breakdown to interpret the operational drivers behind that value.

This planning calculator uses the values you enter and does not replace site-specific engineering, accounting, or operational standards.

Given: 32 vehicles; 8.5 route hours each; 3.1 completed stops per vehicle-hour; 92% fleet availability.

Calculation: Scheduled vehicle-hours = 32 × 8.5 = 272. Effective vehicle-hours = 272 × 0.92 = 250.24. Capacity = 250.24 × 3.1 = 775.74 stops.

Result: About 776 completed delivery stops.

Interpretation: This is a planning estimate before route-specific travel, time-window, and exception constraints are considered.

Should I use parcels or stops?

This model uses completed stops because several parcels can be delivered at one address. If your productivity standard is parcels per hour, redefine the rate and result consistently in parcels.

How can I estimate stops per vehicle-hour?

Use completed stops divided by route vehicle-hours from similar zones, days, and service types. Avoid blending dense urban and sparse rural routes when their productivity differs materially.

Does route time include depot loading?

Use the same definition behind your stop-rate data. If the historical rate is based on on-road route hours, keep depot loading outside both the hours and the rate.

Why use fleet availability if I already entered active vehicles?

Active vehicles represent the planned fleet count, while availability can reserve for expected loss of usable time or vehicles during the window. Set availability to 100% if active vehicles already reflect all expected losses.

Is this enough to create routes?

No. It is a high-level capacity screen; route building also needs geography, travel time, vehicle constraints, customer windows, service times, and driver rules.