The Key Fleet Management
Capabilities Of 2022
The last two years brought forward a new set of challenges for the fleet industry, primarily influenced by the pandemic.
And this year, the commercial fleet management trends are expected to revolve around innovations for improving asset tracking, driver safety, and operational efficiency.
Recent Star’s Fleet Management Report unveils trends that will take center stage in 2022.
#1 – Sustainable Fleet Management Solutions: The Next Big Thing
With organizations across the world trying to reduce their carbon footprint, sustainability is at the heart of every industry, including fleet management. Efforts are being made to replace the 16 million public and private fleet vehicles (gas-powered) on the US roads with electric vehicles (EVs).
Additionally, the government is upping its sustainability game with new policies and infrastructure investments that promote the switch to EVs. Hence, the number of businesses adopting EVs is expected to spike in the future. Meaning there will be a greater need for new technological solutions designed to support electric fleet management.
Firms should focus more on features that improve sustainability and support the electrification of fleets. Think, EV sustainability assessments, real-time EV charging status updates, route planning, etc. The rule of thumb is to help with tasks such as:
-
- Scheduling and monitoring the charging process for EVs.
- Automatically adjusting the charging of EVs based on energy rates.
- Calculating the right ratio of EVs and charge points..
- Reducing required installation using intelligent energy management..
#2 – Data-Driven Fleet Management Is Here To Stay
With organizations across the world trying to reduce their carbon footprint, sustainability is at the heart of every industry, including fleet management. Efforts are being made to replace the 16 million public and private fleet vehicles (gas-powered) on the US roads with electric vehicles (EVs).
Currently, many fleet management solutions leverage AI/ML to improve their data capabilities and thereby facilitate intelligent fleet management. For instance, AI/ML can be used together with auxiliary cameras to monitor in-vehicle and road views and offer side and rear views.
The interoperability of fleet management software is of great importance in digital fleet management. The fleet management platforms should work well with other solutions so users can easily integrate them into the tech stack and across business arenas to gain new insights and opportunities to drive efficiencies.
#3 – Real-Time Alerts And Route Maps
Real-time alerts are necessary to enhance driver safety is a feature of most fleet management software solutions. Real-time alerts leverage a combination of Machine Vision (MV) and Artificial Intelligence (AI) solutions to keep the drivers focused and prevent fatigue and distraction. Depending on the providers, these alerts can range from lights and audio alerts to warnings that detect speeding, tailgating, no seatbelt, and more.
Similarly, route optimization is also a crucial component of vehicle fleet management strategy. Fleet tracking maps are universal, and most technology providers offer a tool for visualizing the location of vehicles in your fleet to improve route optimization. Leveraging these capabilities, dispatchers can share routes with drivers through the mobile app, email, or text message.
Predictive Analysis – The Game Changer
EV-compatible tools, ML and AI, data-driven fleet optimization and management, cloud-based remote fleet management, and integration with other platforms top the list of the most crucial fleet management capabilities. However, predictive analytics is one feature that focuses well on the main pain point of fleet management.
Predictive analytics uncover rich and new information about businesses across industries, thereby decreasing downtime, costs, and overall inefficiencies in your operations. Fleet management companies often have to deal with a lot of expenses. Even insignificant maintenance issues can lead to a costly domino effect if not addressed promptly. Hence, timely detection of a problem, such as a turbo failure, can prevent more expensive issues down the lane.