Powerfleet, Inc, a global leader in the artificial intelligence of things (AIoT) software-as-a-service (SaaS) mobile asset industry, has officially announced the launch of its automated AI risk intervention application.
According to certain reports, the stated application brings forth an innovative AI video module geared towards changing the narrative on how companies automatically detect, assess, and prevent risk in real time, all of it supported by an expert AI automation engine.
More on the same would reveal that, taking a departure from traditional dash cams or legacy telematics systems known for focusing on post-incident review, this new AI-powered application makes it possible for organizations to shift safety operations from reactive to proactive. You see, the underlying technology arrives on the scene bearing an ability to use advanced AI processing on both the edge and cloud to detect risky patterns, including fatigue, distraction, and aggressive driving.
This it does to eventually trigger escalation workflows automatically in real time to save lives.
“Companies are overwhelmed by video data but starved for actionable insight,” said Steve Towe, CEO at Powerfleet. “Our automated AI risk intervention module delivers the breakthrough the market has been asking for: automated real-time risk assessment targeted at preventing incidents before they happen, not just after the fact.”
Talk about the whole value proposition on a slightly deeper level, we begin from the promise of a dynamic driver risk assessment, which delivers at your disposal a continuous, multi-variable risk score that evolves in real time.
Next up, we have smart escalation alerts coming into play with targeted notifications for drivers, fleet managers, and senior stakeholders.
Another feature worth a mention relates to live video along with two-way communications. This particular feature makes it possible for users to achieve immediate intervention and coaching within minutes.
Markedly enough, the technology in question also delivers 80% reduction in video review. You see, leveraging the powers of AI, the solution is able to effectively eliminate noise, prioritize risk, and save time.
Alongside that, Powerfleet’s Ai risk intervention application is further integrated on Unity’s Data Highway. Such an aspect enables the overarching solution to provide a rather unified command center for video-based safety intelligence.
Turning our attention towards the given application’s early performances, they include 95% reduction in fatigue and distraction alerts This was achieved on the back of AI’s steadfast focus on what matters most, thus allowing customers to focus their coaching and behavior change efforts for maximum impact.
Furthermore, it was successful in reducing manual video review by 80%. This saves operators significant time, as well as, allows them to focus on the highest-risk cases.
The mechanism in question also achieved meaningful reductions across collision rates, distracted driving, and VOR (Vehicle Off Road) time, while simultaneously cutting down on insurance costs and expediting claim resolution through enhanced event clarity and real-time evidence.
To understand the significance of such a development, though, we must take into account how the global AI video market is expected to exceed $10B by 2030, with AI-based solutions driving the majority of new spend. In case that wasn’t enough, ESG and regulatory pressures are also increasing the demand for proactive safety and compliance solutions.
Founded in 1993, Powerfleet’s rise up the ranks stems from optimizing mobile asset performance, safety, and sustainability. The company’s solutions presently revolve around using advanced AI, machine learning, and IoT connectivity to provide mission-critical insights across industrial, logistics, and transportation sectors.
Powerfleet’s excellence in what it does can also be understood once you consider the company serves, at present, more than 48,000 customers across 120 countries.
“We’re not just enhancing our product – we’re expanding our value proposition into an underserved area of the market,” said Towe. “Further advancing our AI-powered applications aligns seamlessly with our long-term growth strategy: delivering scalable AI solutions that drive customer value, data monetization, and enterprise stickiness.”
