Operational Analytics Dashboard for Delivery, Distribution, and Field Service

What this means for distribution businesses

You cannot improve what you do not measure. The analytics dashboard provides both real-time and historical views. Real-time analytics show today's task completion percentage, route capacity utilisation, active and inactive driver counts, and late task percentage. Historical analytics cover 13 dimensions including tasks, failed reasons, on-time vs late, lateness, service durations, route durations, route distances, vehicle utilisation, route total cost, schedule utilisation, task processing time, and route order value. Courier operations can benchmark driver productivity and identify training needs. Grocery distributors can correlate on-time performance with customer retention. For wholesale operators, filtering analytics by team or driver reveals which accounts receive the best and worst service levels.

What this means for field service businesses

First-time fix rate, average time on site, travel-to-service ratio, and on-time arrival percentage are the metrics that define field service excellence. The analytics dashboard tracks these across real-time and historical views covering 13 dimensions. HVAC companies can identify which job types consistently take longer than estimated by analysing service durations, triggering adjustments in the planner. Pest control businesses can use the failed reasons dimension to spot patterns such as access denied always affecting the same properties. For electrical contractors, grouping analytics by driver reveals efficiency gaps between experienced and newer engineers. Facilities management companies can generate data-backed service quality reports for clients. Filter by team, driver, or customer and group by date, weekday, week, month, or driver.

How it works

• Real-time dashboards show today's task completion percentage, route capacity utilisation, active driver counts, and late task percentage
• Historical analytics cover 13 dimensions: tasks, failed reasons, lateness, service durations, route costs, distances, and more
• Filter all analytics by date range, team, customer, or individual driver
• Group historical data by date, weekday, week, month, or driver for trend analysis
• Export analytics data via the export button or the API for use in external BI tools