Analytics
Analytics is the dashboard view of how your operation is performing — on-time delivery, vehicle fill rate, average stops per route, driver and location scoring. Where Reports gives you the raw numbers, Analytics shows the trend.
Feature flag: Analytics may need to be enabled for your organization. Scores are recalculated nightly, not in real time.
How to open Analytics
Click Analytics in the left sidebar.
What dashboards are available
| Dashboard | Shows |
|---|---|
| Driver scoring | On-time %, delivery success %, average stop time, fill rate %, per driver. |
| Location scoring | Average performance of stops at each location — useful for spotting locations that consistently cause delays. |
| Workday scoring | Day-by-day fleet performance. |
How to read driver scoring
- Analytics → Driver scoring.
- Filter by date range and group.
- Each driver’s row shows:
- On-time % — deliveries arrived within window.
- Delivery success % — completed vs. failed/returned.
- Average stop time — how long the driver spends at each stop.
- Fill rate % — capacity used vs. available.
- Click a driver to drill into their day-by-day history.
How to read location scoring
- Analytics → Location scoring.
- Filter by zone or customer.
- Each row shows the average performance of stops at that location.
A location that consistently causes lateness (e.g. always 20 min over the time window) usually means the time window is wrong, the service time is underestimated, or the location has access issues. Fix the master data, not the driver.
How to drill from a chart to the underlying orders
Click any KPI value or chart segment. The view drills through to the list of orders that contributed to it. From there, click an order to open it in Order Control.
How to export an analytics view
Use the Export button (top right) for XLSX or PDF.
What “good” looks like
There’s no universal target — it depends on your operation. As a rough starting point:
- On-time % — most teams aim for 90%+.
- Fill rate % — 70–85% is typical; over 90% means you’re probably refusing orders that would fit.
- Average stop time — should be close to your service-time defaults; large variance suggests the defaults need tuning.
Compare drivers and locations against your own averages first. Use the trend (week-over-week) more than the absolute number.
What’s next
- For exporting raw data instead of trends, see Reports.
- For understanding what feeds these scores, see How Zendera plans your day.