Netradyne's AI Drives Safer, Smarter EV Fleets
The EV revolution accelerates logistics and transportation, and new research from Netradyne, a leader in video telematics, suggests that AI could be transformative for the safety and efficiency of EV fleets. While only 33% of fleet management professionals currently utilise AI to boost safety, 81% plan to adopt AI-based solutions within the following year.
The growing shift is especially critical for EV fleets, which bring unique challenges around battery performance, charging management and energy-efficient routing.
At the forefront of this shift, Netradyne's AI-driven fleet management solution, Driver•i, addresses the unique needs of EVs with real-time data and insights that help tackle range anxiety, charging schedules, and the complexities of optimising routes for energy efficiency.
EV fleet safety and the challenges of logistics
EV fleets face additional challenges compared to traditional internal combustion engine (ICE) vehicles, including the need for accurate, real-time battery monitoring, strategic charging, and ensuring sufficient charging infrastructure along planned routes.
The complexities demand a high level of visibility into fleet operations—precisely where AI can make a significant impact.
Durgadutt Nedungadi, Senior Vice President for International Business at Netradyne, explains:
"Transportation is an inherently tough business. With more people on the road and unpredictable conditions, there is more risk for logistics providers than ever."
Battery performance fluctuations in different climates, the need for route planning that accommodates charging stops, and the potential impacts of these factors on delivery times and customer satisfaction compound the risks.
AI: Bridging the gap in EV fleet management
Netradyne's research reveals that traditional telematics and GPS tools do not address EV-specific needs. While 52% of logistics professionals already share fleet data with partners to improve safety, EV fleets require more tailored insights than the conventional systems provide.
AI, however, can bridge the gap by delivering precise, real-time insights into EV performance metrics, charging patterns, and optimal routing for energy savings.
"Visibility in fleet operations is crucial to managing these challenges, and AI is proving to be a key tool for improving it."
For EV fleets, this visibility means real-time monitoring of battery status, timing charging intervals to minimise downtime, and conducting predictive maintenance to address issues before they affect vehicle performance.
By integrating these capabilities, AI enables fleet managers to navigate the unique demands of EVs proactively.
The future of EV fleet safety and efficiency
Adopting AI for EV fleet management provides richer data and a safer and more sustainable future for logistics. AI applications offer substantial financial benefits for EV fleets by improving visibility, scheduling optimal charge times, anticipating maintenance needs and promoting energy-efficient driving behaviours.
The advancements lead to lower accident rates, reduced insurance premiums, and minimised operational costs.
"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," says Nedungadi. For EV fleets, timely interventions could mean proactive battery health checks, strategic charging stops that align with route demands, and route adjustments that conserve energy based on real-time consumption data.
AI and the Road Ahead for EV Logistics
As the logistics industry shifts toward electrification, AI-driven fleet management solutions like Netradyne's Driver•i are set to play a pivotal role in optimising safety, efficiency, and sustainability for EV fleets.
With new capabilities for advanced battery monitoring, predictive maintenance, and real-time routing adjustments, Netradyne's technology equips EV fleet managers to meet the demands of a rapidly evolving industry. Nedungadi highlights:
"As the industry grows more complex, supply chain leaders increasingly turn to AI-driven data analysis to boost operational efficiency, improve safety, and maintain a competitive edge."
With AI integration, the EV fleet sector is better equipped to handle today's challenges and positioned to lead a safer, more efficient, and environmentally friendly future for logistics.
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