SiliconANGLE: Motive Technologies revs up new AI Agents to automate fleet management
Motive Technologies Inc. is pushing the needle for fleet management automation with the launch of a new artificial intelligence offering called Agents today. As the name strongly hints at, Motive’s Agents are autonomous AI agents designed to take a more proactive approach to fleet operations by anticipating problems before they occur and taking action to […] The post Motive Technologies revs up new AI Agents to automate fleet management appeared first on SiliconANGLE.
A fleet management software company has launched autonomous AI agents designed to automatically handle fleet operations tasks, rather than simply alerting human managers to problems. The agents can predict issues like driver fatigue, vehicle maintenance needs, and excessive engine idling before they occur, then take action such as directing drivers to rest areas or automatically creating maintenance work orders. This matters because fleet operators currently spend significant time manually investigating alerts and taking action on them, with the company's research indicating that 42% of its customers struggle with administrative inefficiencies and estimating the industry loses approximately $46 billion annually to preventable problems like unplanned downtime and compliance violations. Existing customers can deploy these agents immediately, and the company plans to expand the capability so operators can eventually create custom agents by simply describing the tasks they need performed.
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Motive Inc., the San Francisco-based artificial intelligence platform provider for physical operations, today announced the launch of Agents, a new capability that automatically responds to safety, maintenance and operational issues before they escalate into accidents, costly breakdowns or business disruptions. The new Agents platform moves beyond alerts to automatically contact drivers, initiate maintenance and coordinate […] The post Motive brings agentic AI to physical operations with a

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