81% of professionals eye AI for fleet safety in 2024
Netradyne, a provider of artificial intelligence technology solutions, has released new research revealing the potential of artificial intelligence to enhance fleet safety.
The findings show that 81% of supply chain professionals plan to implement AI in fleet safety within the next year, despite only 33% currently using AI to assess and monitor safety performance. Additionally, only 15% of professionals use Predictive Analytics Models to forecast potential safety risks or incidents.
The survey, conducted with supply chain professionals, highlights key challenges faced by third-party logistics providers, with accuracy, timeliness, and cost-effectiveness being top priorities. However, these companies face persistent obstacles such as a lack of fleet visibility and limited driver availability. Accidents remain a critical issue, affecting brand image and driving up costs, with 46% of respondents uncertain of the total financial impact on their businesses.
Data plays a crucial role in fleet management and safety. While 52% of respondents currently share data with partners to improve safety standards, many systems still rely on outdated technologies like telematics and GPS, which have limited capabilities. Supply chain teams are increasingly recognising the value of AI-driven data, with significant adoption plans indicating its importance in providing precise insights into fleet operations.
AI-driven solutions promise to boost fleet operations by enhancing delivery precision and timeliness, improving fleet visibility, and driver availability. These tools can predict and prevent accidents, reduce traffic violations, and enhance driver behaviour. By enabling data-driven fleet engagement, AI contributes to safer and more efficient operations, providing third-party logistics providers with better control over their fleets and reducing costs, thereby directly impacting profitability.
Durgadutt Nedungadi, Senior Vice-President for International Business at Netradyne, commented, "Transportation is an inherently tough business. With more people on the road and unpredictable conditions, there is more risk for logistics providers than ever.
"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," Nedungadi said.
"Visibility in fleet operations is crucial to managing these challenges, and AI is proving to be a key tool for improving it."
He further added, "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."
