How Will AI Trucking Disrupt the Supply Chain?

Artificial intelligence (AI) is everywhere today. From self-driving cars and automated chatbots to the maps and social media platforms in your smartphone – AI is running the show. Like it or not, AI is a major innovation and it is forever changing most industries as we know them.

The logistics industry is no exception, and the increasing use of AI in trucking will definitely change the face of supply chain operations in the coming years. This blog explores the history of AI trucking, how AI is being applied to logistics, and the impacts it’s likely to have in the short- and long-term.

Historically, trucking and logistics companies have been a little slow to embrace new technology. Even as other industries were leaning into automation to simplify annoying manual tasks early in the 21st century, many trucking companies and logistics teams were happy to rely on phone calls, emails, and even faxes (seriously) for communication. That all changed in 2020 when the COVID-19 pandemic brought unthinkable disruption and challenges to the global supply chain.

Processes that previously ran more or less like clockwork–and could therefore rely on outdated manual systems–suddenly crumbled, exposing the many vulnerabilities in logistics and trucking operations. As public frustration over empty shelves escalated and more people turned to online shopping and e-commerce, things got even worse in logistics and companies had to pivot to address the changing dynamic.

In response to this global supply chain crisis, tech companies and startups began pouring resources into developing more tools to address the challenges in trucking and logistics and move these industries into a more digital future. Solutions for automating tasks like rating and booking–which existed before with limited success–were suddenly booming, and tools to automate other tasks, like dispatching, tracking, and invoicing, quickly followed. As the dust of disruption settled in the post-pandemic world, logistics professionals have come to recognize the limitations of their old ways and are adopting new technologies, including trucking AI, to help minimize the impacts of future disruption.

Just as AI has many applications in our everyday lives, it also has many uses for trucking and logistics. Let’s take a look at some examples.

Autonomous Trucks

Self-driving cars and trucks are without a doubt the first thing that comes to mind for most people when they think about AI trucking. There has been rapid development and innovation for autonomous trucks, but their use has so far been limited to straightforward, short-haul interstate runs. Most short-haul trials are going well, but it will likely be years before these vehicles take on complicated, cross-country routes while AI trucking companies develop more reliable technology and build public trust in their trucks.

In the meantime, advances in AI trucking include features that take some pressure off truck drivers and make the roads a bit safer. Things like automatic emergency breaking, lane centering, adaptive cruise control, and distracted driver alerts help drivers stay safe and avoid accidents while behind the wheel.

Route Optimization Enhancement

AI route optimization tools have the ability to improve delivery efficiency, reduce fuel consumption, and shorten transit times. But it also has downsides, including data quality issues, difficulty handling complex routes, and problems integrating with other systems. Omnitracs Roadnet, on the other hand, offers a more reliable solution. Specifically designed for the transportation industry, it adapts in real-time, integrates smoothly with other systems, has an easy-to-use interface, and has a proven track record of success. This makes it an excellent choice for route optimization in trucking.

Predictive Maintenance

Trucking AI can be used to monitor truck parts and identify possible issues before they fail and turn into bigger problems. IoT sensors monitor wear and tear and send alerts to check and repair parts, preventing costly breakdowns. This proactive approach reduces downtime while a truck is in the shop and extends the vehicle’s life.

DOT Compliance

AI tools help improve truck driver compliance by automating adherence to safety requirements. Electronic Logging Devices (ELDs) have been mandatory on trucks for years to track Hours of Service (HOS) and make it easier for drivers to know when it is time to take a break. AI-powered dash cams and telematic devices track driver behavior, like speeding, harsh braking, and idling, and offer real-time feedback when they deviate from safety standards. These systems also create detailed reports for inspections to simplify check processes and minimize downtime.

Intelligent Load Matching

Another advancement in AI trucking is automated and intelligent load matching. To do this, AI relies on machine learning to analyze historical data, current truck capacity, and available loads to match empty trucks with nearby freight. It takes into account things like load type, driver preferences, and vehicle capacity to make sure loads are matched with best-suited trucks. This technology helps optimize routes, reduce deadhead miles, and keep trucks rolling to maximize profits.

AI is shaking things up in the trucking world, offering both major benefits and substantial hurdles. On the plus side, AI makes trucking more efficient with better route planning, predictive maintenance, and load matching, cutting down on wasted time and excessive costs. Safety features like collision alerts and adaptive cruise control help keep drivers and cargo safe.

But it’s not all rainbows with AI. There’s a real worry about AI replacing drivers, even though we’re not there yet. Beyond job displacement, AI can introduce challenges like overreliance on technology, which might lead to complacency among drivers and fleet managers. Misuse or failed oversight of AI-powered safety features could also have legal ramifications for trucking companies as legislation lags behind technology. Additionally, implementing these advanced systems can be expensive, particularly for small owner-operators running on tight budgets.

Despite the tech advances, a human touch is still crucial to trucking. Experienced drivers know the roads and can handle unexpected issues better than any algorithm. Humans are also better at handling tasks that involve emotions and ethical judgment, something AI does not do. In the end, it’s a team effort between AI and human know-how that will drive the industry forward, blending high-tech accuracy with human adaptability​.

AI is revolutionizing trucking, pushing innovation but also presenting new challenges. This transformation, in itself, requires a mix of AI and human expertise. Omnitracs provides the support you need as this evolution moves forward with state-of-the-art solutions to help you optimize operations and improve safety at the same time. To learn more about how our technology can help your fleet, visit Omnitracs solutions.