Predictive Maintenance vs. Run-Until-Failure: How AI Sensors Keep Fleet Vehicles on the Road
For many fleet operators, maintenance has traditionally followed a reactive model: keep vehicles moving until something breaks, then deal with the repair. This “run-until-failure” approach may seem simple, but it can quickly become expensive when a truck, van, or service vehicle is suddenly out of operation. A vehicle that is not moving is not earning, and fleet downtime can create lost revenue, emergency repair costs, towing expenses, dispatch disruption, and customer service problems.
That is why more businesses are moving toward predictive maintenance. Instead of waiting for a breakdown, predictive maintenance uses telematics, engine diagnostics, sensor data, and AI-powered analytics to identify problems before they become major failures. According to McKinsey, predictive maintenance can reduce machine downtime by 30 to 50 percent, making a 30% downtime reduction a realistic target for companies that use data properly.
What Is Run-Until-Failure Maintenance?
Run-until-failure maintenance means a vehicle or asset stays in service until a part fails, a warning light becomes urgent, or a driver reports a serious issue. In some industries, this can work for low-cost equipment that is easy to replace. But for commercial fleets, it is a risky strategy.
When a fleet vehicle breaks down unexpectedly, the cost is not limited to parts and labor. The business may also face missed service appointments, delayed deliveries, driver downtime, rental vehicle costs, overtime, and unhappy customers. Penske notes that average truckload revenue per truck was about $4,457 per week in 2024, which shows how quickly downtime can affect revenue.
Run-until-failure also allows small problems to grow into larger ones. A weak battery, engine fault code, overheating trend, emissions issue, or repeated idling pattern may be manageable early. Left unchecked, those same issues can turn into roadside breakdowns and expensive emergency repairs.
What Is Predictive Maintenance?
Predictive maintenance uses data to forecast when a vehicle may need service. Instead of depending only on fixed service intervals or driver reports, fleet managers can use connected vehicle data to understand the real condition of their vehicles.
IBM explains that predictive analytics uses historical data, statistical modeling, data mining, and machine learning to predict future outcomes. In fleet maintenance, that means using information such as mileage, engine hours, diagnostic trouble codes, idling, fuel usage, driving patterns, and repair history to spot maintenance risks earlier.
This is where telematics and AI sensors become valuable. The Geotab GO device collects vehicle position, speed, engine idle, distance, and other vehicle data, giving fleets the visibility they need to move from guesswork to data-driven maintenance decisions.
How AI Sensors Help Cut Down-Time
AI sensors and telematics systems help fleets identify warning signs before a vehicle fails. Instead of waiting for a driver to notice a problem, connected vehicle data can alert managers to issues such as engine faults, unusual performance, excessive idling, battery problems, or maintenance needs.
Geotab’s fleet maintenance tools help businesses reduce downtime, control costs, and improve productivity through remote diagnostics and maintenance management. With the right setup, fleet managers can create maintenance reminders, track service needs, monitor vehicle health, and respond to issues before they interrupt operations.
This is the major difference between predictive maintenance and run-until-failure. Run-until-failure reacts after downtime has already happened. Predictive maintenance helps prevent that downtime by giving managers earlier warnings and better information.
Why Preventive Maintenance Alone Is Not Enough
Preventive maintenance is still important. Oil changes, inspections, brake service, tire checks, and scheduled maintenance all help protect vehicle health. However, a fixed schedule does not always reflect how each vehicle is actually used.
Two vehicles may have the same model year and mileage, but very different wear patterns. One may spend most of its time on highways, while another may idle for hours, operate in stop-and-go traffic, carry heavier loads, or work in harsh conditions. A calendar-based maintenance plan may treat those vehicles the same, even though their real maintenance needs are different.
Predictive maintenance improves preventive maintenance by adding real-time and historical vehicle data. For example, tracking engine hours can help fleets schedule appropriate maintenance and monitor fleet health, especially for vehicles that spend long periods idling or powering equipment while stationary.
Turning Fault Codes Into Action
One of the biggest challenges in fleet maintenance is not collecting data. It is knowing what to do with it. A long list of fault codes can overwhelm fleet managers if there is no way to understand severity, urgency, or likely impact.
Geotab has been expanding its maintenance tools to make this easier. In 2025, Geotab introduced Work Order Management and Fault Code Enrichment to help fleets reduce cost and downtime. These tools are designed to help fleet managers predict vehicle issues, streamline repairs, and better control rising maintenance costs.
Fault Code Enrichment can help maintenance teams understand which issues need immediate attention and which can be scheduled later. That makes it easier to prioritize repairs, reduce unnecessary shop visits, and prevent small problems from turning into major failures.
The Real Cost of Waiting Too Long
The longer a fleet waits to address maintenance problems, the more expensive those problems can become. A minor issue may be manageable during a scheduled shop visit, but the same issue can become far more costly if it causes a roadside breakdown.
Unplanned downtime can also create operational chaos. Dispatchers may need to reroute vehicles, drivers may lose productive time, customers may experience delays, and managers may need to arrange replacement vehicles. Penske explains that downtime affects revenue, repair costs, driver satisfaction, dispatch operations, and customer relationships.
Predictive maintenance helps reduce these risks by giving businesses more time to act. A planned repair can be scheduled around routes, jobs, and technician availability. An unplanned repair happens wherever the vehicle stops.
What Fleet Data Should You Track?
To move away from run-until-failure maintenance, fleets should track the data points that reveal vehicle health and usage patterns. These may include:
- Engine fault codes
- Odometer readings
- Engine hours
- Idling time
- Battery voltage
- Fuel usage
- Vehicle location
- Harsh driving events
- Inspection history
- Work orders
- Repair costs
- Downtime by vehicle
Geotab notes that engine diagnostics can give fleets more than basic GPS tracking by helping them access engine data that supports productivity, compliance, safety, expandability, and fleet optimization. When this data is connected to maintenance workflows, fleet managers can make faster and more informed decisions.
Predictive Maintenance Is a Competitive Advantage
For service companies, contractors, delivery fleets, field technicians, and transportation businesses, uptime is a competitive advantage. Customers expect vehicles to arrive on time, crews to have the equipment they need, and jobs to be completed without preventable delays.
Predictive maintenance helps fleets become more reliable. It can reduce surprise breakdowns, improve repair planning, extend vehicle life, and give managers better visibility into total operating costs. It also helps identify vehicles that may be costing too much to maintain, allowing businesses to make better replacement decisions.
The goal is not just to repair vehicles faster. The goal is to prevent avoidable failures before they disrupt the business.
How GPS Tracking America Can Help
GPS Tracking America provides GPS tracking and fleet management solutions that integrate with Geotab devices and services. With Geotab-powered vehicle tracking, engine diagnostics, maintenance alerts, remote visibility, and reporting tools, your business can move away from run-until-failure maintenance and toward a smarter, data-driven maintenance strategy. If your fleet is ready to reduce downtime, improve vehicle health, and make maintenance decisions with confidence, contact us today to learn how GPS Tracking America can help.
Frequently Asked Questions
What is predictive maintenance for fleets?
Predictive maintenance uses vehicle data, engine diagnostics, sensor readings, fault codes, and telematics insights to identify possible maintenance issues before they cause breakdowns.
What does run-until-failure mean?
Run-until-failure means a vehicle or asset is used until something breaks. Instead of fixing problems early, the fleet reacts after the failure has already happened.
Why is run-until-failure risky for commercial fleets?
Run-until-failure is risky because unexpected breakdowns can cause downtime, missed jobs, towing costs, emergency repairs, driver delays, and customer service problems.
How can predictive maintenance reduce downtime?
Predictive maintenance reduces downtime by helping fleets detect problems early, schedule repairs in advance, and prevent minor issues from becoming roadside breakdowns.
Can AI sensors really cut fleet downtime by 30%?
Yes. AI sensors and predictive maintenance tools can help fleets reduce avoidable downtime by identifying warning signs earlier and helping managers act before a vehicle fails.
What types of data are used for predictive maintenance?
Predictive maintenance can use engine fault codes, odometer readings, engine hours, idling time, battery voltage, fuel usage, inspection history, maintenance records, and vehicle performance trends.
How does Geotab help with predictive maintenance?
Geotab helps by collecting vehicle data through connected devices and organizing that information into reports, maintenance alerts, diagnostics, and fleet health insights.
What is the difference between preventive and predictive maintenance?
Preventive maintenance follows a fixed schedule, such as servicing a vehicle every set number of miles or months. Predictive maintenance uses actual vehicle data to determine when service may be needed.
Does predictive maintenance replace regular maintenance schedules?
No. Predictive maintenance does not replace regular maintenance. It improves maintenance planning by adding real-time and historical vehicle data to scheduled service programs.
What are engine fault codes?
Engine fault codes are diagnostic messages generated by a vehicle when a system or component may have a problem. They can help maintenance teams identify issues early.
Why are engine hours important for fleet maintenance?
Engine hours show how long a vehicle’s engine has been running. This is useful for vehicles that idle often or power equipment while parked, because mileage alone may not show true engine wear.
How does excessive idling affect maintenance costs?
Excessive idling can increase engine wear, fuel usage, emissions, and maintenance needs. Tracking idling helps fleets identify vehicles that may need closer maintenance attention.
What is fleet downtime?
Fleet downtime is any period when a vehicle is unavailable for work because of repairs, breakdowns, inspections, or maintenance-related issues.
Why is downtime so expensive for fleets?
Downtime is expensive because it can reduce revenue, delay jobs, disrupt dispatching, increase labor costs, require rental vehicles, and damage customer relationships.
How can telematics help maintenance teams?
Telematics helps maintenance teams monitor vehicle health, receive alerts, track service history, schedule repairs, and make better decisions using real fleet data.
What is fault code enrichment?
Fault code enrichment adds more useful information to raw diagnostic trouble codes, such as severity, description, possible causes, and recommended next steps.
Which fleets benefit most from predictive maintenance?
Service fleets, delivery fleets, construction fleets, utility fleets, transportation companies, and any business that depends on vehicle uptime can benefit from predictive maintenance.
Can predictive maintenance extend vehicle life?
Yes. Predictive maintenance can help extend vehicle life by catching problems earlier, reducing preventable wear, and helping fleets service vehicles before major failures occur.
How do fleet managers start using predictive maintenance?
Fleet managers can start by installing telematics devices, tracking engine diagnostics, setting maintenance alerts, reviewing fault code trends, and creating a process for acting on vehicle health data.
How can GPS Tracking America help with predictive maintenance?
GPS Tracking America provides GPS tracking and fleet management solutions that integrate with Geotab devices and services, helping fleets monitor vehicle health, reduce downtime, and make smarter maintenance decisions.
