Fleets still dependent on manual systems, have disadvantages, especially in modern times when everything runs on technology. Neither do they gain visibility nor are they scalable. They lack the ability to monitor real-time vehicle diagnostics, analyze driver performance, or other important aspects of advanced fleet management. Their dependency on manual processes in fleet management imposes operational inefficiencies that are untenable in a modern economy. However, advanced fleet management software nowadays includes AI, and the infusion of AI is changing everything for them. Let SpincLabs show you how!
What Are The Common Issues With Manual Fleet Management?
Managing a fleet manually can never be efficient, especially in modern times where everything is advancing towards the future. Hence, if you still rely on a traditional vehicle fleet management system, your business can not move forward. The traditional fleet management solutions force you to move through disconnected processes. It means your fuel data is on one end, your maintenance records on another, your driver logs somewhere else, and your compliance paperwork is nowhere to be found. It is kind of an analogue process where your fleets and operations become more complex. Let’s see what are these common issues with manual fleet management solutions!
Issue 1. Paper-based Record Keeping
The manual fleet management software keeps manual paper logs for everything. Here, each document is static, with manual logs to track vehicle location, fleet maintenance, and schedules. In other words, this process remains fragmented, full of errors, time-consuming, and inefficient.
Issue 2. Waiting For Breakdowns, Reactive Repairs
Maintenance, here, is never prescheduled, which means maintenance is handled after breakdowns. Such a kind of maintenance is called reactive. It ignores vehicle health, that reduces their lifespan. Here, repairs are done by the screech of failing brakes or the silence of a dead engine on the roadside, the most expensive and disruptive moments possible. Traditional fleet management solutions provide no certainty for your business. The only certainty is that every fix will be more expensive and disruptive than the prevention would have been.
Issue 3. Human-Driven Decisions
In a manual or traditional vehicle fleet management system, routing is based on human intuition. This means your operations rely on the driver’s trusted (but often outdated) knowledge of the roads and a quick glance at a printed map. It’s a system that includes no quantifiable data that could save miles off a route and minutes off a delivery.
Issue 4. Limited Visibility
Visibility vanishes with a manual vehicle fleet management system, and your operations go into a certain void. You remain unaware of the fleet’s status and location. This lack of live visibility turns your operations inefficient and time-consuming. Here, an accurate ETA becomes impossible to provide to your customers, instead becoming a chain of disruptive phone calls.
How AI Fleet Management Software Differs?
AI means connected intelligence for all your fleet operations and shows everything at once through the fleet management dashboard. It’s the polar opposite of what manual systems do. It gives you a smarter way of managing your fleet with the use of advanced technology. An AI fleet management software is a self-optimizing solution that learns and adapts according to your operational needs and processes.
These fleet management system provide you with complete visibility with real-time data, live location, predictive maintenance, consistently monitor vehicle health, fuel levels and consumption, the driver’s remaining service hours, and even the historical data for all aspects. You can view detailed data and report on each aspect through the fleet management dashboard. Also, it identifies inefficiencies in each aspect so you can work to improve them. This makes it a cost-effective, efficient and time saving process.
Let’s see what it includes!
- Video Telematics & IoT Sensors
Modern fleets use IoT sensors and video telematics that gather real-time data on vehicle location, speed, fuel consumption, engine health, and driver behaviour. It keeps an eye on driver behaviour with 360-degree cameras. You gain AI-powered insights that make your fleet management operations transparent.
- Machine Learning Algorithms to Analyze Data
Since machine learning analyzes data from every aspect of your fleet, it identifies patterns and anomalies. It instantly alerts you when it detects anomalies. This detailed data helps systems to provide insights about vehicle faults, predict fleet maintenance needs, and optimize performance based on historical and current data.
- Driver Behaviour Monitoring
On-board cameras help AI to monitor driver behaviour such as harsh braking patterns, speeding, drowsiness, and idling time in real-time. It can even automate incident reporting, alert you instantly and keep historical data on each driver.
- Language Processing
Natural language processing helps your drivers handle fleet management systems via voice commands, as it supports local language settings. They can receive traffic or route updates, and smoothen communication workflows with the help of this feature.
- Predictive Maintenance
AI fleet management software keeps track of vehicle health and provides you with detailed data on it. Hence, if it identifies a certain issue with the engine’s health, tyre pressure, or any other part of the vehicle, it alerts you before a breakdown so you can preschedule the fleet maintenance.
- Real-time Fleet Monitoring
Real-time fleet monitoring becomes possible with AI fleet management software. It tracks every vehicle’s position, speed, and route with advanced GPS systems.
SpincLabs’ AI Fleet Management Solutions Mean Smarter Operations
Let SpincLabs’ AI-enabled fleet management software negate the complex processes and make your operations smoother than ever! Let’s replace the manual, time-consuming process with certainty, gain foresight about each aspect, and remove operational inefficiencies with data-driven analytics and real-time monitoring. This is the reason why these advanced fleet management solutions are becoming essential for fleet businesses.
