Uptake Is Launching AI-Enabled Dynamic Maintenance To Provide Fleet Operations With Asset Monitoring

By Amit Chowdhry ● February 20, 2020
  • Uptake — an intelligence system for industrial assets — announced it has launched into Dynamic Maintenance, which improves fleet operations efficiency through proactive and flexible maintenance planning

Uptake — an intelligence system for industrial assets — announced it has launched into Dynamic Maintenance, which improves fleet operations efficiency through proactive and flexible maintenance planning. This allows operators to move beyond time and mileage-based maintenance, Uptake provides real-time recommendations around fleet service.

As one of the newest applications of artificial intelligence technology, Dynamic Maintenance directly supports heavy trucking and fleet goals of achieving maximum uptime while also dealing with some of the challenges with today’s skilled labor shortage.

“Uptake is designed to optimize planned downtime by automating the maintenance planning process,” said Brad Keywell, Founder & CEO of Uptake. “The introduction of AI tools (like Uptake) are key when we consider the reskilling of the vocational workforce—an industry challenge that will only keep accelerating. We’re committed to helping our customers as they move through their digital transformations and derive value from these new tools.”

Uptake essentially ingests available data from vehicles—which may include signal readings, fault codes, fluid analysis, work orders, and PM schedules—to gain an encompassing view of asset health. And a vehicle’s current condition is then analyzed and compared to previous maintenance, as well as the next planned maintenance, creating Shop Visit Optimization.

Before AI tools like Uptake, fleet operators depended on time and mileage-based PM schedules (usually set by the OEM) and had to deal with unplanned maintenance events which occurred in between planned events. And many managers also looked at diagnostic trouble codes (DTCs) to mitigate service interruptions, oftentimes becoming overwhelmed by the volume of alerts and false positives.

This wasted valuable technician time and involved chasing symptoms rather than root causes. Uptake solves all of these stressful situations by ingesting real-time data from multiple sources, applying artificial intelligence, and notifying the maintenance team management only when action is required.

Along with its industry-leading predictive maintenance models built on raw sensor data, Uptake has several new features for fleet operators, allowing the user to analyze work orders including data cleansing, cost analysis, survival analysis and benchmarking. And it can bundle tasks that need to be completed into a single case while prioritizing assets that need maintenance based on the current condition.

“Uptake saves operators from unplanned downtime, which on average, costs $450 to $750 per truck per day,” added Braden Pastalaniec, VP of Sales, Transportation for Uptake. “Uptake is the system of intelligence for heavy truck assets. Our customers receive all reliability related data in one single platform which allows us to amplify the accuracy of and automate the maintenance decision making processes.”