Artificial Intelligence is beginning to gain traction in the fleet management landscape. Fleet managers are coming to understand that AI is not meant to replace them, but rather assist in making their role more productive and streamlined. AI helps managers address their business needs and monitor their fleet closely. It helps prioritize driver safety without compromising on cost and efficiency. It enables them to keep track of all the fleet operations and make timely decisions. They offer route recommendations to road risk analysis and even provide coaching to drivers. The combination of GPS and artificial intelligence makes drivers’ lives easier.
AI-based fleet management platform delivers the same level of accessibility, accuracy, and speed to the transportation, logistics, and mobility industry, making the transport of goods and people safer, faster, and more economical.
Using AI technology, we can actually predict failure of the parts and the entire vehicle, rather than assuming that the mechanics and maintenance routine will keep the fleet on the roads for an optimum amount of time. Systems powered by AI and machine learning can identify threats at speeds that humans cannot. With AI, fleet management companies have access to insights and visibility into problems that help to:
- Decrease costs associated with labor and parts
- Decrease unplanned maintenance and repair expenses
- Increase revenue generation and productivity
- Improve safety
- Prioritize asset renewal and replacement
How AI Optimizes Fleet Management Platforms
Real time fleet analytics: Insights-driven decision-making gathers data based on traffic, road condition information, real-time weather, environmental hazards for predictive analytics. It helps identify the most optimal route to their destination. This enables operations managers to choose better roads, create a proper route, schedule maintenance while improving the overall business activities and outcomes. Having a fleet management data analytics tool helps track vehicle status, maintenance history, and more.
Reducing vehicle downtime: Utilizing advanced technologies help improve and offer accurate self-diagnostics & solutions to faults. The evolution of data analytics, internet of things (IoT) and predictive maintenance are revolutionizing vehicle repairs. It is about forecasting the potential defects before they even happen. This helps detect fault long before it eventually occurs. A vehicle with a diagnostics system can anticipate an engine problem and report it on time. It helps optimize the overall maintenance cost.
Improved Driver and Vehicle Safety: AI-powered solutions help detect risky driving behavior such as driver fatigue, sleepiness, inattentiveness, rule violation, speeding and more. The driver’s face can be monitored in real-time with analytics identifying the state of the mind while driving. This gives fleet managers the opportunity to take the driver’s physical condition into account while planning, or to intervene if a safety risk is flagged, or to assess the performance of a team of drivers.
Benefits of AI Driven Fleet Management
- Improved driver and vehicle Safety
- Real-time vehicle tracking
- Reduce vehicle maintenance costs
- Improved vehicle routing
- Improved productivity
- Reduced downtime and sudden breakdowns
- Improved dispatching
- Improved fuel economy
- Real time monitoring of fleet and drivers
Fleet companies face the challenge of keeping drivers, property, and assets safe, while also keeping an eye on insurance premiums, and supporting accident investigations with proper visual evidence.
Now with the introduction of artificial intelligence, fleet managers can turn to AI powered solutions to monitor driver behavior and have drivers alerted in real-time when driving unsafely and even support driver coaching. AI in fleet management leads to reduction in operational costs, accidents, driver turnover, and other problems which could reflect on the pricing of fleet services, ensuring that other road users remain safe.