Big data, or the data processed on a large scale by analytical tools, is crossing industries to generate new and improved technological processes. In fleet management, this means benefits to maintenance, driver safety, and overall profits.
For a bottom line capable of surviving any economic conditions of the present and near-future, big data-powered tech can help fleet management companies thrive. The integration of these data tools have already proved their worth in the industry, and the future only looks brighter.
Here, we’ll explore just how big data is being utilized by the fleet management industry to produce better solutions in maintenance, safety, and financial outcomes.
The Big Data Benefits to Fleet Maintenance
In every element of fleet management, big data processes stand to make improvements. By powering analytical techniques like artificial intelligence in fleet management processes, big data is bringing information and better decision making across supply chains.
This enhanced technology is making the following improvements possible to fleet maintenance and management:
- Reduction to driver downtime and idling
- Reduction to dangerous driver behavior
- Reduction to miles driven
- Better tracking of vehicles and assets
- Improvements to route efficiency
Innovative tools like tracking and analytical software explore just where improvements to fleet handling can occur. Then, those changes can be integrated. Through this process, the quality and care of freight fleets can be handled with expert insight.
For many efficiency decisions, AI processes like machine learning are integrated to provide recommendations on the fly. This is essential in navigation and route assessment strategies to reduce miles driven and driver downtime. The impact of machine learning on supply chain management means drivers and managers alike can make better decisions at any given moment to cut costs and reduce wear on vehicles.
Additionally, the asset tracking made possible by the availability of data allows for better communication and convenience in warehouse coordination. The Internet of Things (IoT) is disrupting warehouse management across supply chains because of all the potential offered by connected devices.
IoT enables instantaneous fleet tracking communicated back to warehouses, which can maximize the efficiency of loading and inventory tracking. In addition, AI-powered tech can scan and diagnose vehicle information, improving the rate at which issues are caught and handled.
All this big data technology makes fleet maintenance better and easier. In turn, the benefits to driver safety are exponential increased.
Big Data and Driver Safety
Unfortunately, workplace accidents are unavoidable. The best HR and employee safety managers can do in any industry is inventory potential accidents and ways to prevent them. In the fleet management industry, big data tech is helping to improve these prevention strategies.
Currently, big data is being utilized in driver analytics platforms like Geotab. This technology uses GPS tracking information to analyze driving patterns and provide insights into vehicle wear and usage. Everything from idling times to battery failures can be tracked and/or predicted.
With the availability of this tech in the fleet management industry, useful information can be passed on to drivers to help keep them safe. Truck failures can be predicted and warned against. Delays and extended driving times that can leave drivers vulnerable can be avoided. Ultimately, a safer and better driving experience can be had for all drivers in a fleet.
In the future, driver safety can be even more fully enhanced by removing drivers from direct and constant operation of the vehicle. With driverless trucks coming to supply chains, the traditional function of a driver will shift to more of an operator, with the AI-controlled vehicle able to make decisions in fractions of a second with precision that humans cannot match. This technology can potentially make the fleet management industry safer while changing the job of a truck driver to reduce some of the health risks that drivers currently experience.
Without big data, safety innovations of the present and future would not be possible. Data means more informed processes, which can ultimately translate to a better financial outcome for the companies that integrate that information.
Big Data and the Bottom Line
Big data tools are essential in reducing costs and maintaining a cutting edge in fleet management operations. Through big data, valuable insights can be deduced in vehicle maintenance, driving patterns, and safety techniques that improve the quality of the industry overall. With money saved in reduced gas costs, predictive maintenance that counters massive problems, and safer driving practices that diminish asset losses, the fleet management industry cannot afford to go without big data insights.
Integrating data tools takes an awareness of data management, however. Fleet managers must understand how data can help their overall processes, lending insights enough to act on efficient improvements. Luckily, the tools available across the industry are improving all the time.
With AI, IoT, and the big data that powers these features, fleet management is changing to better vehicle maintenance processes and driver safety. All of these improvements make it easier for companies to cut costs, thus generating higher revenues for a future of safer, better business.