Specialized solutions make fleet management more flexible and cost-effective. It is important to highlight the role of artificial intelligence and Big Data, which are actively being implemented in various fields of activity. With their help, you can optimize routes, improve the safety of freight and passenger transportation, and reduce basic costs for fuel and maintenance.
In modern business, installing fleet management software and using advanced AI and Big Data technologies can significantly affect the company’s profits and provide important advantages over competitors. How exactly? Let’s take a closer look.
AI and route optimization
The efficiency of a transport company directly depends on the correct selection of routes and logistics organization. Therefore, artificial intelligence can play a key role in the implementation of this solution in the fleet management system:
- monitoring the current traffic situation;
- analysis of traffic jams and road congestion in real-time;
- average load levels at different times of the day;
- current weather conditions;
- other factors affecting the speed of movement.
After analyzing the situation, AI can automatically offer faster and more profitable routes.
Predictive analytics
Using Big Data in a fleet management system is a convenient and effective solution for predicting operating costs. The system can automatically collect and analyze information on fuel consumption, vehicle mileage, frequency of maintenance and repair, wear level of main components, etc.
At the same time, artificial intelligence performs other important tasks taking into account the collected and analyzed information:
- when which vehicle will require scheduled maintenance;
- which vehicle needs urgent repairs;
- how to optimize the technical inspection schedule;
- which components require replacement to prevent serious breakdowns.
In addition, Big Data and AI are able to determine which vehicles in the fleet have increased fuel consumption, what causes this and how to prevent it.
Increasing the level of safety
AI and Big Data can analyze the behavior of drivers, and take into account their driving style to promptly identify risky and potentially dangerous situations. Thanks to monitoring systems, sudden accelerations, emergency braking, violations of speed limits, the driver’s time behind the wheel, etc. are tracked.
Analysis of such information allows you to influence overall safety indicators. In particular, to promptly improve the qualifications of drivers, set speed limiters, limit the duration of continuous driving.
Automation of vehicle management
In the traditional sense, fleet management is a complex and multi-stage process. It requires constant and careful monitoring by the dispatcher. But thanks to the introduction of AI, some routine tasks can be automated:
- assigning vehicles to orders taking into account workload and location;
- compliance with the transportation schedule;
- automated reporting system for fuel consumption;
- assessment of the overall efficiency of the fleet, etc.
It will help minimize the impact of the human factor on the operation and management of your auto company’s logistics.
Prospects for using AI and Big Data
The role of artificial intelligence, as well as Big Data, in the field of transport logistics, will continue to grow in the future. It will be easier for vehicle fleets to analyze macroeconomic indicators, forecast demand for freight transportation, obtain up-to-date data on road infrastructure, plan efficient routes, interact with smart cities, etc.