Channelize the power of AI-driven fleet management software to ensure that your fleet reaches its destination without a hiccup.
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Artificial intelligence is drastically weaving its way into our businesses. It has the power to change the way almost every industry functions, and the logistics industry has no reason to be left behind.
But what about the security and safety of the drivers and vehicles? Is there any way to guarantee that vehicles will reach their final destination without a hiccup?
Not if you continue swinging with the manual methods of fleet management. But with AI, you can scale up your fleet business by combining it with intelligent algorithms and GPS fleet tracking technology. After all, managing vehicles is all about making smart and safer choices. That sounds like AI.
The Explosion of Artificial Intelligence
AI development services has been gaining a lot of traction, and there seems to be no halt to its glamour any time soon. A basic understanding of AI would be– a software program with the humanlike ability to engage in any activity. Therefore, it can be used in any aspect of all businesses, like planning, predicting, and solving glitches without human involvement.
37% of businesses and organizations employ AI
Integrating AI in Fleet Management–Efficiency
Logistics businesses can reap the benefits of using AI by eliminating risk factors, improving expense management, and ensuring driver compliance to KPIs. It combines with machine learning to use data on driver behaviour to make predictive analyses and automate other aspects.
For example, AI-integrated telematics software allows managers to monitor their driver’s performance and automatically segregate the good from the bad. In addition, the fleet monitoring software presents data through its automated analytical reports.
How is AI Influencing Fleet Management
With AI coming into the scene, fleet managers can now simplify data management and identify problematic areas of the operation. This helps to prevent the problems from getting out of hand and come up with real-time solutions.
Remote diagnostics entails using data from the sensors and OBD to diagnose and analyze issues and faults of the vehicles remotely. Through AI, fleet management software displays real-time metrics via alerts. This helps to perform a remote inspection of the vehicle.
“Predicting the future isn’t magic. It’s artificial intelligence.” ~Dave Waters.
AI-based fleet management software utilizes various sensors, odometers, OBD, and GPS devices in the vehicle to gain insights and make predictions. These accurate metrics-driven predictions help identify the vehicles’ wear and tear. In addition, AI uses this data to identify patterns that might point out a problem in the engine or other parts or predict when a vehicle requires service.
And as the fleet managers have instant access to this data, they can pinpoint the driving practices accelerating the fleet’s breakdown. With timely intervention, predictive maintenance can decrease downtime and unexpected breakdown, a considerable expense for logistics companies. Reduction of downtime through the right technology leads to an increase in productivity and lowers repair costs.
Vehicle Performance Optimization
When using AI-driven fleet management software, fleet managers have real time access to data from the sensors and other telematics devices in the vehicles. This helps to detect, measure and improve the vehicles’ and drivers’ efficiency, productivity, and profitability. For example, managers can track drivers’ compliance with KPIs like fuel consumption, adhering to the set speed limit, idling, routing, and driver behaviour.
Driver performance monitoring and optimization will help to ensure the better management of costs and expenses and achieve sustainability goals.
Security Enhancement with Video Telematics
Ensuring the safety of drivers and vehicles is foremost for the logistics business. An AI-powered safety solution like video telematics helps reduce collision risk. Video telematics employees AI dashcams that offer live streaming of driving behaviour, thus detecting non-compliant activities.
Through AI and Machine learning, these dashcams can recognize and analyze driver behavior and activities. In addition, the fleet management software offers two AI video telematics solutions – ADAS and DMS allowing you to prioritize your driver’s safety.
Advance Driver Assistance System (ADAS) uses dashcams facing the road. Through it, managers can monitor the outside activities of the vehicle, such as following the road safety rules and detecting signal overrides. Managers receive instant alerts and reports as well when there is a collision of vehicles, lane shifting, or tailgating. Even collision preventive alerts are sent out.
Driver Management System (DMS) monitors the driver’s activities through dashcams. AI recognizes the driver’s behaviour and notifies managers when the driver is distracted, drowsy, or drunk. Unfortunately, such actions are harmful to the logistics companies as well as to the safety of the driver and vehicles.
These AI-enabled front and back-facing dashcams will help you remotely sync with the driver’s activities. This even helps reduce the repair cost and form good relations with customers.
Data Integration and Centralization
Data integration means utilizing information from multiple sensors, telematics devices, and OBD to gain a comprehensive real-time view of the entire fleet operation. By using AI-powered fleet management software, managers can gain, review and store data on the cloud, which offers ease of accessibility, thus promoting remote working.
Drivers, through the driver app, can also access this information. In addition, data integration and centralization help managers gain accurate insights, thus enabling them to automate their workflow.
Results of Using AI-Driven Fleet Management
Relying on AI to automate and manage your fleet is a sure-shot way to cut down on transit duration and operation costs. Since it’s not restricted to making data-driven decisions, it offers numerous benefits. Curious to know more – scroll down.
Improves Fuel Economy
Since AI-powered telematics software alerts managers of unrequired speeding, harsh acceleration, detours, and idling, all these activities are responsible for the increase in fuel consumption. It even predicts when a vehicle’s engine requires maintenance, it does so by reading the OBD, which shows an increase in fuel usage by the engine. With timely intervention, companies will be able to decrease their fuel expenses.
Real Time Monitoring of Fleet and Drivers
Fleet management software provides managers with real time data on every aspect of fleet operations. Through solutions like video telematics software which utilizes AI to gain facial recognition, managers are in tune with what is happening in the driver’s cabin. All this helps to ensure that the fleet’s trip is successful.
Fleet monitoring software that uses AI can guarantee their fleet’s productivity. This is because of the elimination of human interference. Vehicle inspection and monitoring get automated and remote. Managers receive alerts of any mishap, thus keeping them in the loop yet not totally engrossed. This helps to maintain the productivity of the drivers and vehicles.
Eliminating Chances of Vehicle Downtime and Breakdown
Artificial intelligence in fleet management allows operators to know how their vehicles perform. For example, using AI in the vehicle tracking system can forecast any anomalies in the vehicle. Then the fleet manager can schedule repairs instead of managing an unexpected breakdown.
By 2023 the global transport AI market will reach $3.5 Billion
And since the fleet managers are using telematics software, they gain insight into the cause of this breakdown. It can be due to risky driving practices or a lack of long-overdue maintenance.
Ensuring Driver and Vehicle Safety
Using AI-powered video telematics provides real-time 360° visibility of the fleet. And having the power of AI will ensure that the managers are informed of the activities of the drivers and their driving skills. As a result, chances of harsh acceleration, reckless driving, and frequent lane changing are immediately eliminated when they know they are being monitored.
How Can You Integrate AI with Fleet Management
AI-integrated fleet management software is an effective system that uses data from several devices and applications like the Internet of things, predictive data analysis, machine learning, data from dashcams and other sensors, etc. For example, TrackoBit is a fleet management system that combines all these components.
Let us learn how each of them is helping you ensure your fleet remains productive all time.
Internet of Things (IoT)
The Internet of Things is a network of sensors and actuators constantly collecting data. For example, fleet management collects data for analysis and the seamless exchange of information between the company and customers.
Machine learning technology is vital as it allows the fleet to learn from the long-collected data and progress. This results in a smart system in which AI prospers. It will enable AI to learn decision-making capabilities and make decisions in practical situations.
Big data and artificial intelligence have a synergistic relationship. AI requires a large quantity of data to learn and improve its decision-making process. This is where big data comes in, leveraging advanced analytical capabilities like the predictive analysis.
Merging big data with AI lets fleet companies analyze data which helps to identify patterns and actionable insights. This will help logistics businesses make faster, better, and more data-driven decisions.
These dashcams record and analyze the footage, enabling a better study of driver behavior, road conditions, and hazards. Due to AI, the system can recognize when the driver is distracted or indulging in risky driving practices.
The AI-enabled dashcams help in the following aspects:
Collecting and transmitting accurate road data.
Analyzing the data and advising the manager of the optimized action.
Detecting and sending alerts when the drivers are drowsy or distracted before an accident happens.
Recoding real time footage of the accident from various angles. This will help in insurance coverage.
Running remote diagnostics and recommending preventive solutions.
Intelligent automation is a combination of AI and automation. It helps streamline and scale decision-making, simplifying the process, freeing up resources, and improving fleet operation. Additionally, it reduces the risk of human error, eliminates repetitive process, and reduce costs.
Channel The Power of AI in Your Fleet With TrackoBit
AI is emerging and holds a vast opportunity to rearrange logistics companies’ fleet operations. Channeling AI’s power through fleet management software will allow you to be in sync with the drivers. In addition, its preventive and remote maintenance functions are the key to achieving an optimized fleet operation.
TrackoBit is an AI-enabled fleet monitoring software. It offers features like video telematics that effectively prevent your vehicle from getting into a hazardous situation.
Click here to channel the power of AI in your fleet!!
Tithi Agarwal is a Jr. content writer at TrackoBit. She enjoys writing blogs which are knowledgeable yet fun to read. And when she is not typing away to glory she has her nose buried in books.