Operations
Trip volumes, vehicle utilization rates, booking patterns, peak hours, and platform-level breakdowns for fleet operations monitoring.
The Operations view provides a real-time picture of how your fleet is performing on the ground. It tracks trip volumes, vehicle utilization, booking patterns, and platform-level metrics so you can ensure your fleet is being used efficiently and meeting demand.
Navigation: Owner Dashboard > Operations
Route: /owner/operations
Trip Overview
The top section provides headline numbers about trip activity across your fleet.
Trip Summary Cards
| Card | Description |
|---|---|
| Total Trips | The total number of completed trips during the selected period |
| Average Trips per Day | Total trips divided by the number of days in the selected period |
| Average Trip Duration | The mean duration of all completed trips, measured in minutes |
| Average Trip Distance | The mean distance covered per trip, measured in kilometers |
Each card includes a period-over-period comparison showing whether the metric has increased or decreased compared to the previous equivalent period.
Trip Volume Trend
A bar chart showing the number of completed trips per day (or per week for longer date ranges). This chart helps you identify:
- Demand patterns -- Which days of the week see the most trips?
- Growth trends -- Is your trip count increasing as you add vehicles and drivers?
- Seasonal effects -- Do certain months have higher or lower trip volumes?
A sudden drop in daily trip count may indicate driver shortages, vehicle downtime, or reduced demand. Cross-reference with the Workforce view to check if attendance issues are contributing to lower trip volumes.
Trip Status Breakdown
A summary of trip outcomes during the selected period:
| Status | Description |
|---|---|
| Completed | Trips that were successfully finished with both pickup and drop-off recorded |
| Cancelled | Trips that were cancelled before completion, either by the driver, passenger, or system |
| No-Show | Trips where the passenger did not show up at the pickup location |
| In Progress | Trips currently underway (only relevant for today's view) |
The cancellation rate (cancelled trips as a percentage of total requested trips) is a key quality metric. A high cancellation rate may indicate dispatching issues or driver reliability problems.
Vehicle Utilization
Vehicle utilization measures how effectively your fleet is being used. An idle vehicle is a cost without revenue.
Utilization Summary Cards
| Card | Description |
|---|---|
| Fleet Utilization Rate | Percentage of your fleet that completed at least one trip during the selected period |
| Average Daily Utilization | Average number of hours per day that each vehicle is actively on a trip |
| Idle Vehicles | Number of vehicles that did not complete any trips during the selected period |
| Total Active Vehicles | Number of vehicles that completed at least one trip |
Utilization by Vehicle
A table listing each vehicle in your fleet with its utilization metrics:
| Column | Description |
|---|---|
| Vehicle | Plate number, brand, and model |
| Total Trips | Number of trips completed by this vehicle during the period |
| Active Hours | Total hours this vehicle spent on trips |
| Idle Hours | Estimated hours this vehicle was available but not on a trip |
| Utilization % | Active hours as a percentage of total available hours |
| Revenue | Total revenue generated by this vehicle during the period |
You can sort this table by any column. Sorting by Utilization % quickly reveals which vehicles are underused.
Vehicles with consistently low utilization (below 40%) may be costing more in insurance, depreciation, and parking than they generate in revenue. Consider reassigning drivers, adjusting schedules, or reducing fleet size if underutilization persists.
Utilization Heatmap
A visual heatmap showing fleet utilization by hour of day and day of week. Darker cells indicate higher utilization. This visualization reveals:
- Peak demand hours -- When your fleet is busiest
- Off-peak windows -- Hours when vehicles are mostly idle
- Weekend vs. weekday patterns -- Whether utilization differs significantly between work days and weekends
Booking Rates
Booking metrics track how trips are sourced and scheduled.
Booking Summary Cards
| Card | Description |
|---|---|
| Total Bookings | Number of new bookings created during the selected period |
| Booking Conversion Rate | Percentage of bookings that resulted in completed trips |
| Average Booking Lead Time | Average time between when a booking is placed and the scheduled pickup |
| Cancellation Rate | Percentage of bookings that were cancelled before completion |
Booking Trend Chart
A line chart showing daily booking volume alongside completed trip volume. The gap between bookings and completed trips represents cancellations, no-shows, and in-progress trips.
Booking Sources
A breakdown of where bookings originate:
| Source | Description |
|---|---|
| Direct / App | Bookings placed directly through your company's app or website |
| Ride-Hailing Platforms | Trips dispatched through third-party platforms (Uber, Bolt, Careem, etc.) |
| Corporate Contracts | Scheduled trips under corporate client agreements |
| Phone / Manual | Bookings placed via phone call or manually entered by dispatchers |
Understanding your booking source mix helps you evaluate channel dependency and diversification.
If a single platform accounts for more than 60-70% of your bookings, consider diversifying to reduce dependency. Platform policy changes or commission rate increases could significantly impact your revenue.
Peak Hours Analysis
Understanding when demand peaks helps you optimize driver scheduling and vehicle availability.
Peak Hours Summary
| Metric | Description |
|---|---|
| Morning Peak | The hour range with the highest trip volume in the morning (typically 6:00-9:00 AM) |
| Evening Peak | The hour range with the highest trip volume in the evening (typically 5:00-8:00 PM) |
| Peak Hour Trip Share | Percentage of total daily trips that occur during peak hours |
| Off-Peak Gap | The hour range with the lowest trip activity |
Hourly Trip Distribution
A bar chart showing the average number of trips per hour across the selected period. Each bar represents one hour of the day (00:00 through 23:00). This chart helps you:
- Staff peak hours effectively -- Ensure enough drivers are available during high-demand periods
- Reduce idle time -- Schedule vehicle maintenance and driver breaks during off-peak hours
- Identify emerging patterns -- Detect new demand patterns, such as a growing late-night segment
Day-of-Week Analysis
A grouped bar chart comparing trip volumes across days of the week. Each day shows:
- Total trips
- Average revenue per trip
- Average utilization rate
This helps you identify whether weekdays and weekends require different fleet allocation strategies.
Platform Breakdown
If your fleet operates across multiple ride-hailing platforms, this section shows performance by platform.
Platform Performance Table
| Column | Description |
|---|---|
| Platform | Name of the ride-hailing platform or booking channel |
| Total Trips | Number of trips completed through this platform |
| Total Revenue | Revenue generated from this platform |
| Average Revenue per Trip | Revenue divided by number of trips |
| Commission Paid | Total commission or fees paid to the platform |
| Net Revenue | Revenue after deducting platform commissions |
| Share of Fleet Trips | Percentage of your total trips that come from this platform |
Platform Revenue Comparison
A side-by-side bar chart comparing net revenue (after platform commissions) across all platforms. This is the most actionable chart for evaluating platform profitability -- a platform with high gross revenue but high commissions may generate less net revenue than a lower-volume platform with better terms.
Platform commission rates can change without much notice. Regularly review the net revenue per platform to ensure each channel remains profitable. If a platform's commission increase erodes your margins, consider reallocating vehicles to more profitable channels.
Using Operations Data for Decisions
Optimizing Fleet Size
Compare your fleet utilization rate with trip demand trends:
- If utilization is consistently above 85% and you are turning away bookings, it may be time to add vehicles
- If utilization is below 50%, your fleet may be oversized for current demand. Consider reducing fleet size or finding new revenue channels
Driver Scheduling
Use the peak hours analysis and day-of-week breakdown to create optimized driver schedules:
- Assign more drivers during identified peak hours
- Stagger shift start times to cover morning and evening peaks
- Schedule maintenance and administrative tasks during off-peak windows
Platform Strategy
Review the platform breakdown monthly to evaluate your channel mix:
- Calculate effective revenue per trip (after commissions) for each platform
- Shift vehicles toward platforms offering better net returns
- Negotiate commission rates with platforms where you provide high trip volumes
- Diversify across multiple platforms to reduce single-source dependency