Most fleet companies have invested in fleet management software to improve operational performance through more data and information about their fleet and its activities. However, these solutions can be deficient in several essential features, subject fleet managers to unnecessary and inefficient analysis and oversight, and inevitably lead to information overload. Advanced AI-powered technologies help fleet managers overcome the challenges their current fleet management solutions introduce.
Before getting started, it’s important to define fleet optimization. Fleet optimization involves tracking and controlling daily fleet operations to improve safety levels, cut costs, and boost fleet efficiency and utilization.
This process frequently requires fleet managers to make continental efforts to manage fleet operations and ensure that daily fleet operations align with established company performance goals and guidelines.
Performance metrics must be selected and monitored to measure fleet performance levels. These measurements allow you to learn what is and isn't working in your organization and prioritize efforts across your fleet for the most impact
Selecting Key Performance Indicators (KPIs) that drive benefit to your bottom line is the first step in this process. Continually monitoring these KPIs will enable stakeholders in the company to track fleet performance levels over time in areas such as operational costs, productivity, cost control, safety, and more.
Performance metrics allow fleet managers to gain valuable insight into fleet operations and determine the best next choice of action. KPIs enable fleet managers to make data-driven decisions to improve fleet performanceand these numbers will drive decisions for management..
Your organization's goals and the overarching strategic goals of your business should serve as the basis for choosing your specific KPIs. If your organization has prioritized fuel efficiency over other KPIs, those goals should determine your strategy, review, and efforts.
Understanding your organization's and its stakeholders' objectives is essential before selecting your performance metrics. However, for your review, we've included a list of KPIs that are frequently used in the fleet industry, such as:
Fleet managers, drivers, and other company stakeholders can all benefit from using Artificial Intelligence (AI) and Machine Learning (ML) technologies to improve fleet management solutions. This technology can be used with your current solutions to handle large amounts of collected data, identify critical information, eliminate false positives or false negatives, and initiate immediate responses.
AI technology will dramatically improve your fleet's long-term performance levels, eliminate human error associated with manual tasks and provide several other valuable benefits. We’ve listed a few main advantages of using AI technology below.
Most of today's fleet management programs gather large amounts of telematics data, necessitating ongoing human oversight and management, which can quickly lead to information overload. With AI technology, large amounts of telematics data can be collected, correlated, interpreted, and used to inform real-time decisions.
Tourmo’s Artificial Intelligence fleet operations software can deliver insights beyond what is traditionally possible. Our system can communicate the right information to the right people at the right time – so action can be taken and measured.
Artificial intelligence (AI) can prevent expensive breakdowns and reduce your overall maintenance and repair (M&R) costs. Instead of relying on ineffective periodic maintenance schedules, AI can continually monitor your fleet maintenance needs year-round and prompt decision-makers when crucial maintenance procedures should be performed.
Fleet routing, route condition monitoring, and schedule and vehicle availability determination are ongoing tasks for fleet managers. AI technology is highly-effective at identifying fleet schedule and route issues. It can identify safety risks in routes leading to a destination and increase your overall fleet utilization rates, in addition to helping fleet managers maximize service levels, improve efficiency, and reduce costs.
Artificial Intelligence can enhance human judgment in fleet management by giving fleet managers access to predictive analytics and in-depth insight into fleet operations. It can also be used to automate repetitive, time-consuming, and error-prone human decision-making processes.
When AI technology and an automated response system are combined, you can take advantage of the insights gained from your telematics data and benefit from automatically implementing management decisions that will improve the overall performance of your fleet. This automated process can help you scale all crucial fleet operations tasks, reducing reliance on manual supervision and intervention.
Tourmo’s AI-powered Operations Insights product can radically improve your current fleet operations and help you utilize your existing fleet management solutions to their maximum potential. Our Operations Insight solution provides several essential benefits directly related to fleet performance improvements, such as total visibility, better engagement, more reliability, higher satisfaction, and lower costs.
Tourmo AI can help you capture and leverage all of the data generated by your fleet management solutions to make better decisions and take action sooner. Tourmo makes it possible to surface trends, patterns, and dependencies and deliver the right information to the right people at the right time.
Some of the main advantages of Tourmo's Fleet Operations Insights solution include:
The future of the fleet industry is anticipated to be less challenging than in years past due to cutting-edge AI-powered tools that will allow fleet managers and company stakeholders to improve their fleets' performance levels immediately.
Tourmo's AI-powered platform can assist you in identifying insightful information about your fleet operations and then use these insights to improve outcomes, from routing and scheduling issues to monitoring road conditions, driver behavior, fleet utilization, and much more.