Motive and Routeware Partner to Bring AI-Powered Visual Proof of Service to Waste and Public Works Fleets
The new integration uses Motive AI cameras and telematics to help municipalities and private haulers reduce manual work, settle disputes faster, and protect drivers without leaving the platform their team already works in.

The new integration uses Motive AI cameras and telematics to help municipalities and private haulers reduce manual work, settle disputes faster, and protect drivers without leaving the platform their team already works in.
Motive | Routeware
Motive, an AI platform for physical operations, and Routeware, a provider of technology for waste, recycling, and heavy duty fleet operations, have partnered for a technology integration that brings Motive AI Dashcam Plus and AI Omnicam video and vehicle telematics directly into the Routeware platform.
Available in Routeware SmartCity for municipalities and Routeware Elements for private haulers across the U.S. and Canada, the integration puts Motive video, live GPS, safety events, and vehicle data alongside route progress so teams verify service in seconds, settle disputes faster, and catch more safety issues.
Waste and public works teams often run on two disconnected systems: one that knows where the vehicle was supposed to go, and one that shows what actually happened. That gap leaves teams with partial information. Every disputed pickup, safety incident, and unbilled overage becomes a manual chase through route records, driver calls, video requests, and, for missed pickups, often a repeat trip by a second vehicle.
"Waste crews work in some of the tightest, most unpredictable spaces there are, and Motive's AI was built for exactly that," said Thomas Hansen, President, Go-To-Market at Motive. "With Motive's AI cameras and telematics available inside Routeware, teams can get the full picture of every route, so they can act sooner, resolve disputes faster, reduce manual work, and protect their drivers and communities. Soon, with the integration of Motive Operations Intelligence, they can also capture the revenue they've already earned."
Verify service and resolve calls faster
When a service-status event fires based on GPS data, Motive automatically captures video and attaches it to that stop. Teams can pull footage for any vehicle and time, and see live GPS, safety events, fault codes, fuel data, odometer, and engine hours alongside route progress. Dispatchers can make faster decisions, and maintenance teams can catch issues before they become costly breakdowns. When a resident calls about a missed pickup, customer service can pull up timestamped, GPS-tagged video and images by address and date, and close the ticket while the caller is still on the line.
Safer Routes for Drivers and Communities
The integration helps make high risk jobs safer. Refuse collection ranks among the most dangerous jobs in the United States, according to the U.S. Bureau of Labor Statistics, and collection vehicles work on residential streets and in alleys full of people. When a collision or near-miss happens, supervisors can review the footage tied to that event in Routeware without pulling a driver off route or waiting days for video, and use it to protect drivers in disputes and insurance claims. On average, fleets using Motive AI Dashcam see 80% fewer accidents and 63% lower accident-related costs.
Find the revenue hiding on every route
Starting next year, the integration will bring Motive Operations Intelligence, computer vision models trained for waste services, into Routeware to help teams capture revenue that often goes unbilled, such as overflowing containers undocumented at the moment of service. Motive Overage Detection, available today on Motive AI Dashcam Plus for commercial front loaders, is designed to catch up to 10 times more overage events than a human operator. Motive Contamination Detection, which identifies contaminants at the moment of collection, is planned to follow.
The Motive and Routeware SmartCity and Elements integration is available to mutual customers today.
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