AI: How Intelligent Telematics is Revolutionizing Fleet Management

The use of artificial intelligence is currently an important component of cost reduction strategies. Especially in connected logistics, AI technology sets new standards, which correspondingly raises expectations in management. As shown in a recent study by Deloitte shows, executives expect that the implementation of AI will bring about significant changes in the company within three years. Their focus is primarily on creating more efficient processes, increasing productivity, and thus reducing associated costs. In addition to increasing efficiency, AI also shows progress in telematics and transportation regarding driver and vehicle safety.

Traffic Safety through Data Intelligence

AI can be used, among other things, to improve traffic safety through data intelligence and insights. Technologies such as machine learning and generative AI can not only increase the productivity and efficiency of fleets but also their safety. For example, the use of benchmarking data allows the measurement of vehicle performance and the classification of collisions. Compression algorithms speed up the processing and analysis of big data, making it faster and easier to access. In automated safety benchmarks, AI evaluates vehicle performance compared to others and reviews safety and efficiency standards based on millions of vehicle data points. AI-supported tools also detect collision patterns and classify the severity of accidents, allowing informed decisions after an incident. In addition to data collection, it can also be analyzed why certain events occur. Driving behaviors, weather conditions, and other external factors are considered to improve safety measures. By innovatively using data and AI, traffic safety can be enhanced while optimizing the performance of fleets.

Prevention instead of Reaction

Fleets using AI-based safety solutions have achieved a lower accident rate worldwide in 2023 compared to the previous year. This is according to the latest " State of Commercial Transportation Report" from Geotab. Accidents involving fleet vehicles cause high costs due to vehicle repairs, insurance premiums, and operational interruptions, not to mention injured employees in the worst case. Prevention is the best way to avoid damages and thus expensive operational interruptions.

As part of Geotab Ace, Geotab developed modern methods to prioritize safety and efficiency. The solution is the industry's first fully integrated telematics AI, available directly through the MyGeotab platform, and provides customized, reliable insights into fleet data through a simple question-and-answer system. This offers new users, who may not yet be familiar with the platform, easier access to data and thus democratizes insights for all users.

Thanks to its ability to analyze large volumes of data, AI enables entirely new accident prevention measures. Based on the precise recording of historical data, risks for accidents can thus be identified, and logistics companies can use the insights to develop appropriate prevention plans. For example, accident hotspots can be identified and avoided in future route planning, or training can be offered for drivers who stand out due to dangerous or unsafe driving styles.

If an incident does occur, today's technology allows for precise recording and analysis of accidents in near real-time. This, in turn, leads to quicker responses from fleet managers and drivers, better preventive measures, reduction in false reports, and identification of high-risk areas. AI and machine learning enable quick and detailed detection of collisions and notifications, resulting in faster response times for fleet managers. This, in turn, helps minimize damage, reduce downtime, and lower costs. AI not only processes large amounts of data and automates tasks but also provides analyses that reveal trends and helps anticipate and mitigate risks before collisions occur.