Field Service Time Tracking Software — GPS Enabled

GPS-enabled time tracking uses the technician's mobile device or vehicle telematics hardware to continuously capture location data throughout the shift. Geofences placed around each job site automatically trigger clock-in and clock-out events when the technician arrives and departs — recording verified job start times, on-site durations, travel time between stops, and total shift hours without any manual input from the technician.

NextBillion.ai's Live Tracking API delivers up to 1-meter location accuracy in real time. Combined with road-snapped GPS data from the Snap-to-Road API, all mileage and location records are cleaned of GPS drift artifacts and aligned to the actual road network — producing billing and payroll records that are accurate enough to satisfy finance audits, customer SLA verification, and regulatory compliance documentation.

Yes. The platform includes offline tracking mode that buffers location data locally on the device when mobile connectivity is unavailable — common in industrial facilities, rural service areas, underground locations, and large commercial buildings. Location and time data syncs automatically and completely when connectivity is restored, ensuring no gaps in the shift record regardless of network conditions in the field.

A virtual boundary — a geofence — is drawn around each customer's premises or job site address. When a technician's device crosses that boundary, the platform automatically records a timestamped arrival event. When they leave, a departure event is logged. These events feed directly into the time tracking record, creating a verified job duration without requiring the technician to manually start or stop a timer.

NextBillion.ai integrates natively with major fleet and telematics platforms including Samsara and Geotab, and supports CRM and ERP integration with Salesforce, SAP, and Microsoft Dynamics 365 via REST API. This enables tracked time, mileage, and job completion data to flow directly into your existing payroll, invoicing, and field service management workflows without manual re-entry or data exports.

The Snap-to-Road API processes each technician's raw GPS trace and aligns it to the actual roads driven, eliminating distance errors caused by GPS signal drift. The result is a precise, road-accurate mileage log for every trip — segmented by technician, date, and job stop. This data produces audit-ready reimbursement reports that eliminate disputes and comply with IRS mileage documentation requirements.

Yes. Route adherence monitoring compares each technician's actual GPS path against the optimized route dispatched at the start of the shift. Deviations are flagged automatically, with the additional distance and time cost of each deviation quantified. Operations managers receive configurable alerts for significant route departures, enabling proactive communication without requiring constant manual map monitoring.

The Route Dispatch API supports real-time dynamic reassignment — when a job overruns, is cancelled, or a technician becomes unavailable, revised route instructions are pushed instantly to affected technicians' apps. The system re-optimizes the remaining job queue automatically, ensuring downstream appointments are rescheduled with updated ETAs and no manual dispatcher intervention is required for routine schedule disruptions.