Modern logistics devices continuously collect data, the analysis of which can be used to optimize complex storage and transport processes. Networks and sophisticated sensors even enable vehicles to act autonomously. The result: fleet management technologies are becoming intelligent, and networking and real-time data access are becoming increasingly important.
Technological Integration and Innovation for Fleet Management
The integration of modern technologies and innovations can significantly increase the efficiency of fleet management. This includes the use of smart devices, GPS tracking, IoT-enabled sensors, telematics and other advanced solutions that can provide real-time data and improve communication between headquarters and drivers.
Innovations like predictive maintenance using AI also help prevent breakdowns by forecasting when repairs are needed, thereby minimizing downtime and improving fleet reliability. This holistic approach to technological integration transforms fleet operations into a more dynamic, data-driven process, ultimately increasing productivity and customer satisfaction.
Corporate Fleet Management: The Impact of Technologies
- Better organization of operations
- Increased efficiency
- A reduction in costs
- An increase in the safety of vehicles and personnel
A survey by Global Fleet, carried out worldwide in 18 countries on every continent on a sample of 236 suppliers or managers of company fleets, for a fleet of over 2 million vehicles, reports some very interesting data, which shows how it will move the market for software solutions and vehicle tracking and connection technologies in the coming years.
- 72% of respondents say vehicle connectivity (tracking and data collection) is important or very important to their fleet management strategy.
- Only 16% say they have connected more than 50% of company vehicles, compared to 36% who have connected less than 5% of vehicles.
AI Provides Analysis and Insights
For example, a company has started a test environment and opened it up to its customers, which integrates generative AI models into its in-house platform. The whole thing works in a similar way to what we are now used to with Chat GPT: fleet managers enter a question into a chat interface and receive an answer within a very short time, which is based on the company’s specific data as well as billions of anonymized data points from the company’s databases.
For example, fleet managers can not only quickly ask which of their vehicles or groups of vehicles have the longest idle times, but also how these can be shortened. Based on the data collected, the AI is able to respond with various tips within a few seconds. Such insights alone are helpful in increasing operational efficiency or reducing costs.
With regard to energy efficiency, you can now have data on employee driving behavior, vehicle performance, and condition analyzed. For example, if the AI comes to the conclusion that the majority of drivers are driving too aggressively or at least not energy-efficiently in traffic, training on this topic may be needed with specific instructions for employees on how they should behave.
Speaking of replacing, electric vehicles are still clearly in the minority in fleets – on average, it is only eight percent – but given the impending phase-out of combustion engines from 2035, fleet operators will have to deal with them more in the coming years.
AI can also help with this by analyzing the profiles of existing vehicles and the driving patterns of employees and comparing them with available electric vehicles in order to identify suitable alternatives. In this way, electrification can be carried out with minimal trial and error while paying attention to the needs of the company and the drivers.
The Adoption of Corporate Fleet Management
Despite the obstacles to the adoption of company vehicle tracking and connection technology, there is a perceived desire to overcome them in the face of the expected benefits, regarding which there is widespread agreement among sector operators.
The main adoption of drivers for fleet management solutions are the following:
- Cost reduction
- Improved driver safety and driving style
- Vehicle location and increased safety
- Increased operational efficiency
Optimization of Mobility Management
The possibility of limiting fraud or unauthorized use does not appear to be among the main motivations for adoption.
It is expected that the drive to adopt these solutions, facilitated by the availability of communications and the maturation of an offer of products and services, will ensure that by 2025 the threshold of 50% of vehicles managed by fleet solutions will be exceeded.
Parameters for choosing an innovative fleet management technology
From the analysis of this trend to the adoption of tracking and connection solutions for company fleets, in order to improve the overall management efficiency and safety of vehicles and drivers, the professional figure of the company fleet manager becomes increasingly important.
Onro offers you clear access to all of your fleet’s data. The software is used to manage vehicle and driver data and allows reports to be easily compiled.
From vehicle and driver management to order tracking and planning to monitoring and analyzing all drivers – Onro is the heart of the entire fleet management. The software is intuitive to use, and is therefore suitable for both experienced fleet managers and occasional users who only need individual functions.
Conclusion
Innovative fleet management with technologies is destined to become increasingly widespread to improve efficiency, reduce costs and increase safety. Those who have adopted vehicle position tracking using GPS and vehicle connection technologies for real-time data collection claim to have obtained many benefits.
Onro offers an effective technological solution aimed at companies with day-to-day courier control needs. A technology that extends intelligent road transport management to turn fleet vehicles into a driver of revenue, productivity and cost savings.
