@Road Adds Real-Time GPS Location and Mapping to Taskforce Field Service Optimization Product
FREMONT, CA – @Road, a Trimble Co. and provider of end-to-end solutions for Mobile Resource Management (MRM), has integrated @Road GPS location technology and new street-level mapping capabilities into its Taskforce 7.5 Field Service Management solution.
FREMONT, CA – @Road, a Trimble Co. and provider of end-to-end solutions for Mobile Resource Management (MRM), has integrated @Road GPS location technology and new street-level mapping capabilities into its Taskforce 7.5 Field Service Management solution.
This integration allows automated field service work allocation and dispatch decisions to utilize real-time location of mobile workers as well as their technical expertise and availability. The new GPS and mapping capabilities enable Taskforce users to improve task allocation and exception management.
Using an @Road-generated GPS feed along with street-level mapping technology, Taskforce 7.5 users can see the real-time location of vehicles, workers, tasks, customer sites, and other landmarks on live maps within the Taskforce product. This information can allow dispatchers to quickly find and allocate the nearest resource to an urgent task, evaluate routes to improve efficiency, identify the closest locations for stock replenishment, and track traveled paths to identify opportunities for time and fuel savings. Users can also filter mapping displays by resource or task to see only the information needed to make a scheduling decision.
Taskforce 7.5 also provides users the capability to compare estimated arrival times at customer locations with actual arrival times, based on the @Road-generated GPS location information. This information ultimately provides users with the ability to build a picture of their mobile workers day-to-day tasks, as well as to improve routes and to reduce mileage, fuel use and travel times.
Taskforce is designed to automate field service delivery processes from appointing, scheduling, and dispatching to capacity planning. The underlying technology in Taskforce makes use of artificial-intelligence algorithms designed to coordinate people, technical expertise, resources and inventory, as it continually seeks to optimize the field service delivery solution at a given time. Because Taskforce is automated and intelligent, it can assist a single operations manager to handle a number of complex service delivery needs and requirements in an unpredictable field service environment.
In addition to Taskforce 7.5, @Road also offers businesses its flagship GeoManager MRM solution for fleet management. GeoManager provides GPS-based location-relevant visibility into the daily activities of mobile workers and their work — from actual vehicle routes, starts, and stops to customizable maps showing mobile worker location relative to important landmarks like customer locations or work yards. GeoManager also allows businesses to upload customer and/or trip information into a routing engine to generate on-demand, actionable reports, such as optimized routes and drive-time, fuel economy, city ordinance compliance, and much more.
Rounding off @Road’s comprehensive MRM product suite are solutions for field asset management incorporating vehicle diagnostic/prognostic and sensor technologies for driver safety, inventory management, and optimized vehicle performance and maintenance.
More Safety

The Safest Fleets Aren’t the Ones with the Most Technology
You’ve made the telematics investment. Here’s how to capture the other half of its value and build the safest fleet on the road.
Read More →
Hidden in Plain Sight: Fleet Compliance Risks
Fleet compliance isn't just about having policies — it's about consistently enforcing them. This practical guide reveals six hidden compliance risks common in public sector and shared fleet operations and outlines proven strategies to improve visibility, accountability, and audit readiness
Read More →
NETS Sets 2026 Fleet Safety Benchmark Conference for Indianapolis
The Sept. 15–17 program will feature fleet benchmarking data, case studies, emerging technologies, and implementation strategies while running alongside the NSC Safety Congress & Expo.
Read More →
Off-the-Job Crashes Account for 43% of Employers’ $61.7 Billion Crash Burden
NETS quantifies costs dispersed across fleet, risk, HR, and other departments while providing new per-crash benchmarks for employers.
Read More →
Ram Recalls More Than 1.27 Million 1500 Pickups for Seat Belt Anchor Issue
The recall affects certain 2019-2026 Ram 1500 pickups that may have improperly attached second-row seat belt buckle anchors.
Read More →How Better Visibility Cut Speeding Violations by 48%
Fleet leaders don't need more data, they need clearer visibility into what the data is saying. This case study explores how one utility replaced speeding-event counts with a single metric — miles driven in violation — to strengthen safety and significantly reduce speeding violations.
Read More →
Operation Safe Driver Week: Why the Industry's Oldest Safety Campaign Still Matters to Fleets
A look at how a 2007 enforcement initiative became one of the most consequential weeks on the fleet safety calendar, and what it means for your drivers in 2026.
Read More →
Nexar-Nauto Merger Aims to Give Fleets Better Safety Intelligence Through Larger Driving Dataset
Stefan Heck tells Automotive Fleet that combining more than 10 billion miles of driving history with Nexar's AI models will give fleets deeper insights into driver risk and roadway conditions than either company could provide independently.
Read More →From Silos to Solutions: Relationship Management for Safer Fleets
From telematics adoption and driver accountability to policy consistency and risk mitigation, this episode breaks down what it really takes to build a safer fleet culture without slowing business down.
Read More →
IIHS Launches First Commercial Vehicle Safety Evaluations
The Insurance Institute for Highway Safety has begun evaluating heavy-duty pickups and cargo vans for driver protection. Which models earned top marks?
Read More →
