(WO) — Motive has launched an AI-powered maintenance platform designed to help operators identify equipment problems earlier, automate repair workflows and reduce unplanned fleet downtime.
Motive Maintenance integrates vehicle and asset diagnostics, inspections, maintenance workflows and operating costs within the company’s existing physical operations platform. The system is intended to give fleet managers a consolidated view of equipment health and maintenance activity, from the detection of a fault in the field through completion of repairs.
The platform uses AI to interpret equipment fault codes and provide plain-language descriptions of potential problems, recommended service actions and severity-based prioritization. Inspection defects, fault codes and scheduled service reminders can also be automatically converted into digital work orders.
“Teams shouldn’t learn about a failure from a roadside call—they should have the insight and ability to act early and prevent a costly breakdown,” said Hemant Banavar, chief product officer at Motive.
The system also uses AI-based invoice scanning to capture repair information and maintenance costs, while combining those expenses with fuel spending to track the operating cost of individual vehicles and assets.
Additional capabilities include warranty tracking, parts inventory management and equipment replacement analysis intended to help operators determine when aging assets should be retired.
The launch comes as industrial and fleet operators increasingly use predictive maintenance and equipment-health data to reduce unplanned outages and improve asset utilization. Motive said its system connects data generated in the field with maintenance shops and back-office operations, allowing potential equipment issues to be addressed before they result in larger failures.
Motive Maintenance is available in the United States and Canada.
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