How technology and automation are driving the next wave of efficiency.

In the ever-evolving world of fleet management, artificial intelligence (AI) has emerged as a transformative force, revolutionizing safety, productivity, and profitability. While the digital economy grapples with questions about the return on investment they get with AI, the physical economy — powered by fleets — has embraced it with open arms. 

In return, they’ve seen real, tangible results. As we move through 2025, AI’s role in fleet management continues to grow, with trends pointing to even greater precision, application, and impact.

The rise of computer vision: AI’s most measurable success

Among the many types of AI, computer vision has emerged as the leader in delivering measurable results. By enabling systems to “see” and interpret visual data in real time, computer vision helps fleets address mission-critical challenges, from unsafe driving behaviors to asset management.


Motive’s customers have seen remarkable results from this technology:

  • FusionSite Services achieved an 89% reduction in accidents and a 92% decrease in high-risk driving behaviors.
  • Staker Parson reduced unsafe driving events by 70%, seeing a 96% incident exoneration rate with the help of Motive dash cam video. 
  • Ernst Concrete achieved a 2,000% return on investment and $6.5 million in estimated savings, including an 83% decline in distracted driving events.

Watch the video: How Ernst Concrete transformed operations with Motive.


These results underscore why computer vision is becoming essential for fleet operations. With AI tools like the Motive AI Dashcam and AI Omnicam, fleets can detect unsafe behaviors, such as distracted driving or tailgating, with up to 99% accuracy. This precision ensures real-time alerts for drivers, enabling immediate corrective action so accidents can be prevented.

AI accuracy will define 2025

The effectiveness of AI in fleet management depends on its accuracy. Precise AI models can mean the difference between preventing accidents – or dealing with their aftermath. In 2025, accuracy is expected to become the most critical factor for commercial fleets when evaluating AI solutions.

AI models like those used by Motive are continuously refined through weekly updates. These models leverage real-world and synthetic data to improve performance. For example:

Third-party studies, like the one we commissioned with the Virginia Tech Transportation Institute, found that Motive’s AI alerts drivers to unsafe behaviors three to four times more effectively than competitors. This level of precision builds trust between fleets and their teams, ensuring that insights are both actionable and reliable.

Real-time feedback: The power of “on-the-edge” AI

One of the most significant advancements in AI for fleets is on-the-edge processing, where data is analyzed directly within the vehicle instead of being sent to the cloud. This allows for immediate feedback to drivers when unsafe behaviors are detected, such as speeding, drowsiness, or impending collisions.

Accurate, real-time feedback is essential in helping drivers when accidents happen. Motive’s industry-leading AI detects 99% of severe collisions, uploads video evidence, and immediately alerts safety managers. Drivers get help when they need it most, and for life-threatening collisions, Motive connects managers directly to emergency dispatchers through its First Responder solution.

AI expands beyond safety

While driver safety remains a core focus, 2025 will see AI making strides in other areas of fleet management. Fleets are using AI to address operational inefficiency, streamline asset tracking, and enhance back-office functions. 

Coaching with Motive is more manageable and efficient. Our local teams wear many hats to ensure our customers and employees are taken care of. Motive allows us to save them vital time.

– Clint Brocato, corporate safety manager at Murphy-Hoffman Company.


Here are other key examples from Motive customers who have seen meaningful time savings:

  • Equipment Monitoring: Tools like the Motive Asset Gateway are changing the way fleets track and manage equipment. Real-time tracking reduces theft and loss by 72% while increasing asset utilization by 70%. With 100+ vehicles and nearly 800 trailers, JMS Transportation struggled to keep track of all of their assets. After adopting Motive Asset Gateways, JMS improved trailer utilization by at least 30%, reducing idle time and optimizing operations.
  • Back-Office Automation: AI is automating time-intensive processes, such as compliance reporting and driver coaching. By streamlining these workflows, fleets can save valuable time and resources.
    • Cascade Environmental saved 800 hours a month on IFTA reporting with Motive, while Architectural Surfaces used the Motive Card to automate IFTA reporting directly from their Motive Dashboard. 
    • With Motive, fleets enjoy a much smoother process, freeing up time for higher-value work.
  • Quality Control: AI-powered cameras are also being used to enhance visibility and improve quality assurance. Ernst Concrete uses dash cam footage to analyze the texture of poured concrete, helping their quality control team address customer concerns and maintain high standards.

Tackling emerging challenges: Theft and labor shortages

As cargo and vehicle theft continues to rise, fleets are turning to AI-powered tracking technologies to protect their assets. GPS-enabled tools like the Motive Asset Gateway have become critical in safeguarding supply chains. Advanced asset monitoring prevents loss and provides peace of mind for fleet operators in an increasingly complex and high-stakes environment.

See the power of the Asset Gateway up close.


In an interview with FleetOwner, Motive customer Greg Morrow, VP of ARL Network, a large intermodal drayage company based in Pennsylvania, said theft is a big concern. Luckily, with Motive’s Asset Gateway tracking device, he was able to pinpoint the exact location of a stolen cargo container, notify local law enforcement, and recover the cargo.

We found the warehouse that it got taken to. [Law enforcement] surveilled the area for a couple of weeks, and when they went in, they found all of our products minus one toy. But they found $5 million of Nike products in there as well. It was a massive warehouse that ended up being a front for a theft operation.

– Greg Morrow, VP of ARL Network, in FleetOwner magazine


At the same time, AI is helping fleets address labor shortages, enabling teams to do more with fewer resources. For example, Motive’s AI-powered coaching workflows automate the process of surfacing incidents, providing video evidence and prioritizing key areas for improvement. As a result, fleet managers can focus on impactful coaching rather than spending time on manual reviews.

The demand for transparency and benchmarks

As AI becomes mission-critical to fleet operations, the demand for transparency and measurable outcomes is growing. Fleets need clear benchmarks around AI accuracy and ROI — similar to the standards seen with large language models. This push for accountability will shape how AI providers position their solutions and build trust with customers.

Solutions with the highest accuracy will see the greatest adoption as fleets prioritize tools that can demonstrate their value in preventing accidents, protecting assets, and reducing costs.

2025: A year of transformation

Looking ahead, 2025 will be a transformative year for AI in fleet management. Key trends include:

  • A focus on extreme accuracy: Fleets will demand AI solutions with proven precision, particularly in safety-critical applications.
  • Broader applications across operations: AI’s impact will extend beyond safety, transforming job sites, warehouses, and back-office functions.
  • Increased adoption of advanced tracking technologies: As theft becomes more sophisticated, fleets will adopt equally advanced tools to stay ahead.
  • AI-powered benchmarking for smarter performance. Fleets will rely on AI-powered analytics to compare safety, efficiency, and compliance metrics against industry standards, using real-time data for strategic decision-making.

When it comes to AI, 2025 and 2026 are going to be the years of “real differentiation in the market between the companies who are focused on productivity benefits and unlocking that for customers, as opposed to those that are taking a more novel approach to the technology.

– Adobe CFO Dan Durn

Join the AI revolution

Motive’s AI-powered platform is at the forefront of this transformation, delivering real-world results that redefine what’s possible in fleet management. From reducing accidents to optimizing asset utilization, AI is helping fleets achieve new levels of safety, productivity, and profitability.

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Discover how Motive is shaping the future of the physical economy.


Together, we can create a safer, smarter world for fleet operators everywhere.