Predictive Maintenance Telematics and Analytics Platform

The Vendor is required to provide an advanced predictive maintenance telematics and analytics platform that leverages real time vehicle data, artificial intelligence, and predictive modeling to reduce downtime, improve reliability, and optimize maintenance operations.
- The solution should integrate seamlessly with existing telematics systems, transform raw vehicle data into actionable insights, and support a proactive maintenance strategy through early issue detection, automated workflows, and data driven decision making that enhances operational efficiency and extends vehicle life cycles.
- The system shall enable the City to proactively address maintenance concerns before they result in operational failures, thereby reducing roadside breakdowns, unplanned downtime, and emergency repairs.
- Platform capable of identifying early indicators of vehicle and equipment performance issues through the use of real-time data monitoring and predictive analytics.
- The system shall collect and analyze information such as engine diagnostics, vehicle use, battery and electrical health, and other sensor data to support condition based maintenance and reduce unplanned downtime.
- The platform shall use real time vehicle data, predictive analytics, and AI to identify early signs of problems, forecast component failures, prioritize fault codes, and recommend maintenance actions.
- The API should support sending maintenance updates back into the platform and allow automated work order creation when possible.
- provide full API documentation, sample code, integration guides, a testing environment, and technical support. All fleet data shall remain the property of the City and must always be exportable.
- This may include telematics devices for light  and heavy duty vehicles, installation and removal services, and the ability to work with existing devices when appropriate.
- The software shall include licensing for predictive analytics, AI based failure forecasting, real time alerts, fault code scoring, automated recommendations, model calibration, and the ability to set up custom rules. The platform shall be subscription based and provide dashboards, mobile access, automated scheduling tools, reporting features, and annual API access.