Autonomous AI looks set to shape the future of fleet management

Artificial Intelligence (AI) is transforming physical operations, hastening the demise of legacy telematics systems as tech-savvy fleets pull the plug on outdated systems and processes in favor of data-driven platforms.

During this last year, we’ve seen an unprecedented spike in demand for AI dash cams as businesses make the case that good safety is good business. Thanks to this safety-first technology, drivers at firms like Lanes Group – the UK's largest provider of wastewater solutions with a fleet of some 4,000 vehicles – have cut their mobile phone usage by 92% in just seven months.

It’s a similar story at UK-based waste management business, Countrystyle Recycling. Thanks to smart dash cams – which can spot when people use their phones while driving – it saw the number of violations cut by 85%. The technology – which can also be used to spot whether someone is wearing a seatbelt – also led to a 93% drop in alerts in just a matter of months.

But this is just the start. AI is also being used to warn drivers who are tailgating or drifting lanes. More recently, it’s being used to spot drivers who are showing signs of being drowsy or nodding off behind the wheel. This isn’t as simple as it sounds. 

While advancements in AI and machine learning have made proactive alerts possible, unlike mobile phone or seatbelt infringements, drowsiness is an incredibly nuanced human behavior that is difficult to spot.

It’s not simply a case of identifying people yawning or having their eyes closed. We train our models on more than 180 billion minutes of video footage and 220 billion miles travelled within our platform, to recognize drowsiness (and other such behaviors such as seat belt and mobile phone usage) behind the wheel and create a safety system that warns drivers before it’s too late.

AI is delivering real benefits for business

While it may be one of the latest applications to spring out of the AI lab, it certainly won’t be the last. The early hype around AI just a couple of years ago has now been replaced by a sense that this is a technology capable of creating value in specific areas of business.

But using AI to enhance driver safety is only one area of development. As we look ahead to 2025, autonomous agents – intelligent AI that can make decisions and perform tasks without direct human intervention – look set to play a transformative role.

From an IT perspective, this has the potential to significantly change the way businesses operate. And there are three clear areas where we are most likely to see progress in the coming year.

AI agents are already being used for autonomous decision-making to monitor IT infrastructure in real time, identifying potential disruptions, flagging cybersecurity threats, and implementing solutions autonomously. Such systems can detect anomalies in network traffic, such as unauthorized access attempts, and take immediate action to contain threats.

In physical operations, self-driving autonomous vehicles are beginning to find their place in warehousing and closed environments. And while AI-powered predictive maintenance has been around for a while, the next logical step is to use agentic AI to further support people by automatically scheduling vehicles for a trip to the garage as soon as a fault is detected.

Autonomous AI set to gain ground

Elsewhere, hyper-personalized interactions are being used in areas such as customer support to bring a much more tailored service. This might include using AI to provide real-time updates on shipments, tailored delivery notifications, and real-time updates. In time, this could also be extended to route planning to take into account last-minute schedule changes to further improve operational efficiency.

Perhaps the most futuristic development is the creation of a network of AI agents that collaborate with one another to tackle complex logistical challenges. In other words, tasks that once required a person to make a decision could be outsourced to AI. In the supply chain, for example, everything from inventory management, order processing, dispatch, routing, and fulfilment could be completed autonomously with minimal human input.

Similarly, autonomous fleet management is pushing the boundaries of what’s possible in logistics. This collaboration with AI agents hints at a future where the logistics ecosystem functions as a “synchronized, self-optimizing network”.

While the idea of networks of agents working with augmented human supervision may sound compelling – especially in terms of addressing skills shortages – it also raises complex questions about oversight and control.

In Europe, for example, legislators have taken a stricter stance on data security and privacy, driven, to some extent at least, by the perception of AI as predominantly a US-led technology. Companies like Meta and Apple are already restricted in their AI usage in Europe due to these concerns.

Another concern revolves around ethical and sustainable AI. Customers increasingly demand that we demonstrate ethical practices within the supply chain. Technologies like biometrics – which may seem simple and useful – face strict regulations often requiring explicit consent from every individual involved.

Europe’s approach to privacy and rights will shape AI legislation

The EU, in particular, is shaping up to be a leader in areas like explainability, transparency, and grounding AI in the data used to train it. This approach reflects Europe’s strong emphasis on individual rights and privacy, a trend that I see only growing stronger.

Whatever happens, AI looks set to make an even bigger impact in 2025 than it did last year. Advances in safety are only scratching the surface as applications become more intuitive and sophisticated.

The development of agentic AI is only set to raise the bar still higher. With autonomous systems increasingly taking the wheel, AI looks set to define the boundaries of operational efficiency to create a more connected, secure, and intelligent global supply chain.