MAXIMIZE UPTIME
Every minute a trailer is off the road costs you. Phillips Connect’s smart trailer diagnostics and predictive maintenance technology help you catch issues early, maximize uptime, and keep your fleet moving profitably.
GUESSWORK ISN’T AN OPTION
Real-Time Diagnostics
Get immediate fault alerts from ABS, TPMS, lighting, brakes, and door sensors – no more surprises.
Predictive Maintenance
Anticipate failures before they happen: wear trends, historical data, and intelligent alerts.
Streamlined Scheduling
Prioritize shop work based on real asset conditions to keep your technicians focused.
One Dashboard for Total Visibility
Monitor your fleet’s health in real time, across all trailers, from a single easy-to-use platform.
with proactive monitoring and alerts
with automated insights that cut downtime
for maintenance teams and streamlined workflows
on road calls and tow costs, potential to save thousands
SMART SOLUTIONS
Your technicians are strapped for time, not data. That’s why our smart trailer maintenance platform delivers clear, actionable insights, not just raw sensor readings. Whether you’re in the shop, on the road, or managing a nationwide fleet, Phillips Connect gives you the confidence to take control.
Fleet GPS Tracking System
Locate your trailers in real time to improve visibility, utilization, and response when issues arise.
Brake and Tire Monitoring
Keep your fleet safe with real-time brake and tire health tracking, helping you reduce wear and prevent roadside failures.
Predictive Maintenance
Turn data into foresight and identify problems before they become costly repairs.
TechAssist Application Tool
Equip your field technicians with the TechAssist app for real-time diagnostics, proof of service, and yard checks.
WE’VE GOT YOU COVERED
The Phillips Connect platform collects health, status, and movement/location data from cargo cameras and a multitude of sensors on brakes, tires, lights, doors, and more. Sending real-time alerts and key information to your dashboard.
Predictive maintenance uses sensor data and historical trends to forecast likely failures so you can fix problems before they happen.
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