How AI Is Driving Safer Fleets at Belle Vue Manchester

In an industry where compliance, safety, and efficiency are under constant scrutiny, the role of technology has never been more critical. As Transport Manager at Belle Vue Manchester Ltd, I am always looking for practical solutions that genuinely improve operations rather than simply add another layer of complexity.

Over recent months, we have implemented the Samsara AI system across our fleet, and the results have been both measurable and encouraging.

From the outset, the primary objective was clear: enhance safety standards while maintaining operational efficiency. The Samsara system, with its AI-powered vehicle cameras and real-time telematics, provides a comprehensive overview of driver behaviour, vehicle performance, and road risk exposure. Unlike traditional systems, which rely heavily on retrospective data, Samsara delivers immediate, actionable insights.

One of the standout features is the AI-driven driver coaching capability. The system identifies behaviours such as harsh braking, distraction, and close following distances, allowing us to address potential risks before they escalate into incidents. Importantly, this is not about penalising drivers – it’s about supporting them. By using objective data, we’ve been able to have more constructive conversations, backed by clear evidence, which has led to noticeable improvements in driving standards across the fleet.

From a compliance perspective, the system has significantly streamlined our processes. With integrated reporting and easy access to footage and event logs, we are better prepared for audits and internal reviews. This has reduced administrative burden and provided greater confidence in our ability to demonstrate adherence to regulatory requirements.

Another key benefit has been incident management. In the event of an accident or complaint, having immediate access to high-quality video footage has proven invaluable. It allows us to establish facts quickly, protect our drivers where necessary, and respond professionally to third parties. In many cases, this has helped resolve disputes efficiently and avoid unnecessary escalation.

Operationally, the telematics side of the system has also delivered value. Real-time vehicle tracking, route optimisation insights, and utilisation data have allowed us to make more informed decisions. While these gains may seem incremental, collectively they contribute to improved fuel efficiency, reduced wear and tear, and better overall fleet management.

Of course, implementing any new system comes with challenges. Driver acceptance was a key consideration, and transparency was essential. We took the time to communicate the purpose of the technology clearly – focusing on safety, fairness, and support rather than surveillance. This approach has been instrumental in gaining driver buy-in and ensuring the system is used positively.

In conclusion, the Samsara AI system has proven to be a valuable addition to our operation at Belle Vue Manchester Ltd. It strikes a strong balance between safety, compliance, and operational efficiency, while also supporting a more proactive and data-driven management approach. For operators considering similar technology, my advice would be simple: embrace it, but implement it with clear communication and a focus on driver engagement.

Technology alone does not improve standards – people do. However, with the right tools in place, those standards become far easier to achieve and maintain.

Matt Turner, Transport Manchester