Netradyne: Why AI is a Gamechanger for Fleet Safety

New research from video telematics firm Netradyne, shared at the Gartner Supply Chain Planning Summit, highlights a rising trend: AI could be a game-changer in fleet safety for logistics and transportation.

Presently, only 33% of professionals in the field are using AI to enhance fleet safety, but 81% intend to integrate AI-based solutions within the next year.

This shift is expected to drive down risks and improve operational accuracy, helping companies improve fleet safety, reduce incidents and save on costs.

Netradyne, known for its AI-driven fleet management solution, Driver•i, is a leader in this technological shift.

The Driver•i system uses AI to detect potential on-road hazards, supporting drivers to make safer decisions and helping to reduce risky behaviours by as much as 99%.

Netradyne’s goal to continually enhance safety technology has made it a leading name in fleet safety, bringing safer roads and more sustainable operations to companies worldwide.

Fleet safety and the pressing challenges in logistics

In the supply chain sector, precise and on-time delivery remains a top priority, with 57% of survey respondents ranking accuracy as the most critical factor and 31% also considering cost-effectiveness key. But third-party logistics (3PL) providers face a series of persistent challenges.

A lack of real-time fleet visibility and the struggle to ensure adequate driver availability are major hurdles to delivering goods safely and accurately.

Accidents pose a significant issue, leading to in-transit product damage, costly repairs and even harming company reputation. For drivers, accidents affect both their well-being and availability, further compounding these issues.

Despite these high stakes, 46% of surveyed professionals are still unclear about the full financial impact of accidents on their businesses, underscoring the need for more accurate data to address these challenges effectively.

The research also found that 52% of logistics professionals already share data with partners to improve safety standards, yet outdated technology such as basic telematics and GPS limits what companies can do with this data.

However, with AI, companies gain more precise insights which will enable them to tackle their safety challenges with a greater level of accuracy and depth.

How outdated technologies hinder efficiency

As the logistics sector grows in complexity, many fleet management systems struggle to keep up, relying on limited-functionality tools like standard GPS and telematics.

These older technologies restrict how companies track and manage their fleets, leaving gaps in real-time information that AI solutions can help close.

By contrast, AI platforms are now advanced enough to go beyond simple tracking and location data; they provide valuable insights that logistics teams need to make more informed, timely decisions.

AI-driven data for example can help identify specific risky behaviours on the road, monitor compliance with safety protocols and create patterns in data that managers can use to prevent future incidents.

This is why there’s a notable rise in the number of companies planning to adopt AI-driven fleet safety platforms.

“Transportation is an inherently tough business. With more people on the road and unpredictable conditions, there is more risk for logistics providers than ever," says Durgadutt Nedungadi, Senior Vice President for International Business at Netradyne.

"Challenges like growing end-customer expectations for quick and hassle-free delivery, rising costs, shrinking markets and increasingly selective insurers add to the pressures faced by supply chain teams.

"Visibility in fleet operations is crucial to managing these challenges and AI is proving to be a key tool for improving it." 

The future of fleet safety

Adopting AI for fleet management isn’t just about better data - it's about creating a safer, more sustainable future for logistics.

AI applications in fleet safety have the potential to significantly improve the industry by enhancing fleet visibility, optimising driver availability and predicting possible accidents.

Using these tools, companies can lower traffic violations, reduce accident rates and even promote positive driver behaviour, all of which contribute to safer roads and a more efficient fleet.

These benefits carry a substantial financial impact. Improved fleet safety and performance mean fewer costly accidents, which in turn reduces insurance premiums and other overheads. For 3PL companies, these savings are directly tied to profitability. With better oversight and improved operational control through AI companies can streamline processes and bring down operational costs, reinforcing AI’s value as a long-term investment.

According to Durgadutt: “Vision-based AI technologies can help alleviate many of these challenges by delivering real-time insights that boost safety, predict potential issues and ensure timely interventions.

"As the industry grows more complex, supply chain leaders are increasingly turning to AI-driven data analysis to boost operational efficiency, improve safety and maintain a competitive edge.”

This sentiment captures why the majority of supply chain professionals are gearing up for AI adoption.

As logistical pressures mount, the value of precise, AI-enhanced data and decision-making will only grow, making AI an essential component in the future of fleet safety.

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