Artificial intelligence (AI) has found its way into almost every industry including the trucking industry. With the need to prioritize driver safety while maximizing efficiency, it is only natural that commercial fleets are looking into how to best incorporate AI into their day to day operations.
What is AI Fleet Management?
AI fleet management is the use of artificial intelligence technology to manage the operations of the fleet. It helps to eliminate human error and maximize efficiency and safety.
AI can optimize a number of aspects of fleet management including:
- Real-time fleet analytics – data such as traffic conditions, weather, road construction, and vehicle mechanical issues can help fleet managers make better decisions concerning routes, maintenance, delivery schedules and more.
- Repair and maintenance decisions – AI systems built into vehicles are able not only to indicate problems when they occur, but they are able to perform diagnostics and signal the need for predictive maintenance by identifying potential problems before they happen. This can reduce maintenance costs by 10-40% and downtime by 50%.
- Fleet integration – Especially in companies that have large fleets and multiple departments, integration can be a problem. It is not uncommon for each department to have their own software platform. This can lead to inefficiencies and communications breakdowns. AI can help integrate all of the departments so they are working off a single platform and communicating seamlessly.
- Recruitment Process – There is a growing need in the trucking industry not only for drivers but also for automotive and diesel technicians. As more baby boomers retire, new recruits must be hired to take their place. An AI system can compare the special skills of those retiring so fleet managers will know what is needed in terms of recruitment and training.
How is AI integrated with fleet management?
AI is incorporated into fleet management using a variety of software and hardware solutions including:
Internet of Things (IoT) – this is a network of sensors that collect data from the environment and can include things like wireless communication, GPS, and onboard diagnostics.
Machine learning – technology that allows fleets to learn over time from the data collected and to respond to that data.
HD cameras – these allow photo and video data to be collected and analyzed. They can provide useful information on things like road conditions, driver behavior, and self-diagnostics.
Getting started with AI fleet management software
If you are looking for the best AI fleet management software for you company, contact Trux Solutions today. We can help you get started with the platform that is right for you fleet.
