BeeFast Economics
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July 2026 · Bucharest

Delivery profitability

Calculating your selection…

Net profit

Revenue

Total cost

Break-even price

minimum average per delivery

Deliveries
Total weight
Total distance
Avg. contribution
Profitable deliveries

Fleet feasibility

— deliveries per courier per day

Peak window demand
Active delivery days
Total courier-days
Courier staffing cost

Estimated driving time

Per courier · per active day

Average
Minimum day
Maximum day

Driving time only; excludes loading, waiting and handoff time.

Recommended fleet

Calculated from the selected delivery history.

10h shift requirement
Peak window constraint
Estimated fleet cost

Daily staffing requirement

Couriers needed by day

Daily maximum
Average required
Understaffed days
10-hour requirement Configured couriers

Each daily maximum combines driving time, total batch capacity, and peak-window demand.

Intraday demand

Maximum deliveries in each window

Highest window
Average daily peak
Above fleet capacity
Day of monthRed bars exceed configured concurrent fleet capacity

The window length follows the courier staffing configuration.

Created-date analysis

Daily courier workload

Deliveries per courier
Day of monthBar height represents total deliveries that day

Daily duration

Estimated driving hours per courier

Minimum
Average
Maximum
Daily driving timePeriod average

Calculated from each day’s distance, selected courier count, and average moving speed.

P&L structure

Where the revenue goes

— margin

Contribution

Delivery mix

profitable
Positive contribution
Loss-making
Price uplift to break even

Sensitivity

Compare pricing configurations

Starter assumptions—edit the fields to model your real operation.

ConfigurationPrice / deliveryCost / kgCost / kmNet profitMargin

Store view

Performance by origin

StoreOrdersAvg. costProfitMargin

Cost exposure

Weight × distance

ProfitLoss

Delivery detail

Order-level economics

OrderStoreDateWeightDistanceRevenueCostProfit
Results exported