Workshift Metrics is here — BETA

Workshift Metrics takes the raw activity of a driver’s day — every stop, every pause, every kilometre — and turns it into a single, readable story. Dispatchers can quickly spot problematic shifts and understand the underlying causes without digging through raw data logs.

What you’ll see

Headline metrics across a shift:

• 15 deliveries and 1 pickup completed over a sample shift
• 128.0 km driven in 7h 5min
• Throughput: 2.1 deliveries/hour
• Average time at stop: 10m

Key performance indicators tracked:

• Actual workshift — when drivers truly started and stopped versus scheduled times
• Underutilised time — scheduled hours not worked
• Deliveries per hour — real throughput measurement
• On-time delivery — percentage of stops meeting their time windows
• Average time at stop — duration per stop

Route mapping, interactive timelines, and comprehensive journey logs round out the view.

How metrics are calculated

1. The plan — a workshift consists of orders with pickup and delivery locations, typically one depot batch pickup followed by delivery stops.
2. Driver app activity — the app records continuous GPS location pings and timestamped actions (arrived, scanned, signed, completed). Data is road-matched to align with actual road networks.
3. Data integration — the scheduled plan is aligned with actual activity to derive the metrics:
   • Actual workshift = first GPS movement → last completed action
   • Underutilised = Scheduled − Worked
   • Deliveries/hour = Deliveries ÷ Working hours
   • On-time delivery = On-time stops ÷ Total stops
   • Average time at stop = Total dwell time ÷ Stops

Coming next: trends across drivers, routes & locations

An aggregated view will let you track performance across weeks and months — helping identify patterns in throughput, on-time rates, and dwell time across drivers, routes, and locations.

Open any recent workday and see how your shifts really ran.