AI: The Future of Fleet Management

AI Growth & Value

AI technology is already disrupting the way we move people and goods. From observing traffic patterns to reducing fuel cost and optimizing driving routes to reducing traffic accidents. AI is creating opportunities to make transport safer, more reliable more efficient and cleaner.

While decision-makers recognize the value of AI, many aren’t as familiar with the tech and its huge day-to-day benefits. Business leader will need to clearly demonstrate how AI will positively impact drivers and staff across the organization.

AI automatically transforms big data into digestible reports, visual dashboards and actionable insights that help businesses to make decisions. It is this power that helps businesses make more data-based decisions that are proving to help with cost reduction and revenue increases.

 

AI and Onboard Cameras

One of the fastest emerging AI technologies is computer vision and this is now being integrated into the latest AI enabled dashboard cameras. Computer vision allows computers to see and analyze objects in the same way humans do. Is an object moving toward or away, is it in the vehicle’s direct path and will a collision occur? Computer vision can also read road signs and tell the difference between humans and inanimate objects. This technology is changing how data is captured, and choosing a fleet management software provider with this capability is a good way to future proof your investment.

 

 

There are two powerful benefits of AI-equipped onboard cameras. One is incident reduction through driver assistance where drivers can be alerted to potentially dangerous actions. The second is the capability to measure driver behavior including fatigue, distracted driving tailgating and a wide range of road violations, enabling fleet managers to easily build a picture of fleet wide and individual driver safety.  

With an integrated AI dashcam from Teletrac Navman, businesses can:

• Measure driver behavior that standard vehicle telematics cannot
• Build fleet wide and driver safety scorecards
• Gameify driver safety with incentive programs
• Be proactive in driving training and one-on-one coaching

What Data Can AI Interpret?

AI relies on data, and lots of it, to learn about operations and provide insights and predictions. Fleet management systems capture an ever-increasing volume of data from a wide range of data points which can be pulled into an AI processor. These include but are not limited to:

• Engine diagnostics ODB2 and J1939 / CAN bus data
• Runtime data
• Maintenance data
• Fuel usage data
• Idle times and location data
• Driver hours data
• Dangerous driving event data
• Distracted driving event data
• Fatigue data
• Vehicle/asset utilization data

AI’s Future as Seen in Other Industries

Many industries have embraced AI technology already. Factories and hospitals have benefited significantly from AI that optimizes maintenance processes and looks for signs of potential downtime before the incident occurs. Here’s a look at how other industries use AI:

Healthcare: Healthcare is one of the most active users of AI technology, incorporating AI into virtual doctor visits and using robotics in surgery. Hospitals all around the country are using AI to make more accurate diagnosis and creating individualized treatment paths for patients.

Manufacturing: Manufacturing process disruptions can cost tens of thousands of dollars per hour for downtime. . Machines equipped with cameras can make real-time quality checks, detecting even the smallest defects, and predictive maintenance keeps machines running at maximum capacity.

E-Commerce: E-Commerce sites such as Amazon.com are using AI technology to increase sales, reduce shopping cart abandonment and predicting inventory needs. AI-based tools help companies forecast sales and manage inventory.