Motive and Fleetio announced Wednesday an expanded integration that centralizes fuel, maintenance and telematics data to help fleet operators reduce costs and ensure compliance. The integration connects Motive’s AI-powered Integrated Operations Platform with Fleetio’s fleet maintenance system and includes automating data workflows by eliminating manual tasks. The result is increased operational visibility.
A critical challenge facing fleet managers is that fuel and service costs now comprise nearly 75% of operating budgets. The partnership works by introducing two key features: syncing vehicle inspection reports and fuel card transactions between the platforms.
“This integration brings together fuel, telematics and maintenance data in a way that helps companies not just react to challenges, but get ahead of them,” said Stefano Daneri, fleet ecosystem strategist at Fleetio, in a press release. “It’s all about turning data into action, action into uptime, and uptime into long-term performance.”
The Two-Way Driver Vehicle Inspection Report (DVIR) Sync creates a seamless defect resolution process that improves compliance while maximizing vehicle and driver uptime. When maintenance teams resolve an issue in Fleetio, the corresponding DVIR defect in Motive automatically closes, allowing managers to prevent unsafe dispatches.
The Motive Card Fuel Sync automatically imports fuel transactions into Fleetio, providing a single source of truth for cost tracking, budgeting and International Fuel Tax Agreement reporting. This connection between fuel spend, driver behavior and asset health gives managers unprecedented insight into one of their largest expenses.
The companies have collaborated since 2018 to unify maintenance and telematics data, including streamlined scheduling and fault tracking. Following the announcement, the combined partnership with Fleetio now manages over 1 million assets along Motive’s extensive telematics network.
According to the release, the partnership delivers one of the industry’s largest cross-platform datasets for benchmarking, predictive insights and AI-driven automation.
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