Tips and tricks for 2024

Applications of AI

Artificial intelligence is ushering in a new era of fleet management efficiency, making it easier than ever for businesses to derive useful insights, automate processes, and keep vehicles and employees safe. Here are some ways AI can be used to optimize fleet management processes in 2024.

Access real-time data

The AI ​​system continuously monitors fleet management data collected from telematics devices, GPS systems and IoT sensors. (Internet of Things – driver location, etc.)providing companies with real-time insights into vehicle performance, vehicle location, driver behavior, and more.

AI can provide fleet managers with actionable insights based on this data and even make decisions automatically on behalf of the company, making it easier for managers to make faster strategic decisions about their fleets and address potential challenges before they get out of hand.

Example of use: With instant AI-powered insights, fleet managers can reallocate tasks in real time, thereby minimizing driver downtime.

Vehicle route optimization

Route optimization helps companies save time and money by shortening driver travel distances and reducing unnecessary stops. Artificial intelligence takes the process to the next level by continually pulling data from sources like GPS satellites, traffic management systems and weather forecasts, and using it to assign drivers the most efficient route possible.

AI-enabled systems can also automatically adjust routes in response to real-time events, such as unpredictable weather patterns or unexpected road closures. Fuel cost If fuel consumption is one of your biggest concerns, an AI fleet management system can also help minimize fuel consumption by choosing routes with fewer starts and stops and recommending more fuel-efficient speeds to drivers.

If you want to keep your fleet as productive and efficient as possible, check out our guide. The best route planning software.

Example of use: If a highway is unexpectedly closed, an AI fleet management system can automatically reroute drivers’ journeys to minimise disruption.

Fleet management provider Samsara uses AI to help optimize and maintain vehicle routes. Source: Samsara

Perform predictive maintenance

Predictive Maintenance is an approach to fleet management that enables companies to monitor vehicle performance and condition in real time and identify potential issues before they become costly.

AI can significantly improve processes by using advanced analytics to combine current telematics data with historical data, resulting in more targeted insights for businesses. AI not only notifies businesses when anomalies occur, but also uses predictive analytics to identify patterns that may lead to vehicle or equipment failures in the future. In addition to significant cost savings, AI-powered predictive maintenance also helps keep drivers safe by minimizing unexpected errors and breakdowns.

Example of use: If the interior of a truck becomes contaminated with water, AI predictive maintenance can identify the problem and alert the driver before it causes long-term damage to the vehicle.

Analyze and improve driver behavior

Poor driving behaviour can have serious implications for the safety of the driver and those around them, the condition of the vehicle and the company’s reputation. Driver Monitoring System It observes metrics such as the driver's speed, acceleration, braking, and idling time, and uses AI-powered algorithms to analyze the safety of this behavior.

AI can also suggest targeted interventions for inappropriate behavior and develop strategies to reduce the likelihood of accidents occurring in the future. This immediate feedback helps drivers by fostering a safer environment and benefits fleet managers by enabling closer monitoring.

Example of use: If one of the drivers is accelerating suddenly on the highway, instant feedback is provided, allowing them to correct their behavior on the fly.

Verizon Connects AI Dashcam feature detects potentially dangerous driving situations to help improve driver safety. Source: Verizon

Streamline inventory management

When vehicles are responsible for transporting inventory, AI can streamline the inventory management process in a number of ways: First, AI-enabled inventory management systems leverage historical and current data to provide managers with real-time stock information and predict future demand, reducing the risk of overstocking or out-of-stocking.

AI can also automate parts of the inventory tracking process, reducing the risks associated with human error. Finally, AI-powered algorithms can optimize the inventory ordering process by understanding the best time for companies to place orders with suppliers. As a result, companies are more likely to overcome potential supply chain issues and have enough stock to meet demand.

Example of use: If a company’s inventory is running low, an AI-enabled fleet management system can send real-time notifications to encourage more purchases or handle tasks automatically to reduce the occurrence of out-of-stocks.

Addressing talent challenges

In 2024, labor shortages remain one of the biggest challenges facing trucking companies. While AI will never be able to completely replace the role of drivers, rapidly evolving technology may lower the barrier to entry to become a driver in the future by facilitating autonomous driving options. Some trucking companies are introducing temporary self-driving capabilities and AI features that automatically pull trucks to the side of the road if a problem is detected.

AI can also assist with the recruiting and hiring process by analyzing resumes in bulk and performing automated screening. It can help to: Unconscious bias The screening is “blind,” excluding data on gender, ethnicity, age, etc. But there are some caveats worth knowing about. Concerns that AI algorithms could introduce bias into hiring.

By handling much of the process, AI can help employers reduce costs and maximize the chances of finding the right candidate.

Example of use: If you’re struggling to find qualified drivers, you can streamline your hiring process by using AI to automatically reject unqualified applicants and assign ratings to qualified candidates.

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