Guides provide step-by-step instructions for the most common use cases built with HyperTrack.
Track work day with visit notes: Record app events as markers to the location timeline of the user. Use day's trip summary to identify significant stops and ask app users to add notes for each. This is the most popular way to provide visibility to ops managers about work performed on the field.
Track distance between app events: Get actual distance between app events as webhooks to your server as they happen. Best for businesses that rely on distance for billing customers or paying out drivers. Actual distance with HyperTrack is more accurate than point-to-point estimates using maps.
Track live route and ETA to destination: Get live routes and ETA to destination. Available as mobile-friendly views to share with your customers, detailed views to embed in your ops dashboards, webhooks for delays & arrivals, and more. Best for tracking delays and no shows, reducing customer anxiety, and proactively managing escalations before they happen. Improve product experience and reduce customer support costs.
Track arrival, exit, route for geofences: Set radius or polygon geofences for all (or group of) devices in the account or specific devices or trips. Get webhooks for arrivals and exits, and generate data for time spent at geofences, route taken between geofences, and idle time (stops) between geofences. Best for tracking time spent and route efficiency relative to known places of business, and correlating this with outcomes from those places.
Dispatch to nearest available (BETA): Get a sorted list of available devices nearest to a specified location. Best for building real-time systems with on-demand dispatch, dynamic routing and order assignment. Improve operations efficiency, turn around times and overall productivity.
Export tracking data by day: Get leaderboard that scores users based on tracking %, and average distances for custom markers, trips and geofences. Export the leaderboard as CSV and get underlying location and marker data as gzipped JSON. Best for archiving data on your servers and ingesting data into your data lake to build custom data models.