Fleet Insights and Forecast
Two related drill-downs in the Analytics tab focused on the fleet — what each unit earns, and where demand is going.
Per-unit fleet insights
For every active unit:
- Revenue — payments attributed to bookings on this unit in the period
- Utilization % — days rented ÷ available days × 100
- Service cost — total maintenance spend in the period (from the Service Log)
- Net contribution — revenue minus service cost (a rough margin)
A unit with 90% utilization but $400 service cost in a month may be earning less net than a 60%-utilization unit with $50 service cost. This is the view that surfaces those.
Demand graph
A trend line: bookings per day, plotted over the active period. Useful for:
- Spotting weekend-vs-weekday patterns
- Catching demand collapses (e.g. a seasonal dip earlier than expected)
- Validating marketing campaigns against booking lift
Staffing graph
A complementary trend line: assignments per day. If demand is rising but assignments are flat, you have a staffing bottleneck — either your team isn't keeping up with handovers, or you're running out of physical inventory.
14 / 30 / 90-day forecast
A projection of expected bookings (and revenue) over the next 14, 30, and 90 days, based on:
- Existing confirmed future bookings
- Trailing-12-month seasonality
- Recent trend (last 30 days vs prior 30)
This is directional, not deterministic. Use it for capacity planning, not promises to investors.
How to use the forecast
- 14-day — staffing decisions, ordering supplies, scheduling unit servicing
- 30-day — inventory transfers between stores, marketing pulse, payout pacing
- 90-day — fleet expansion (do you need to acquire more units?), seasonal pricing tweaks, partner negotiations