The City of Long Beach is seeking a predictive maintenance telematics and analytics platform to reduce downtime, improve reliability, and optimize maintenance operations for its fleet. The platform should use real-time vehicle data, artificial intelligence, and predictive modeling to identify early signs of problems and recommend maintenance actions. The contract will be for a period of two years with the option to renew for three additional one-year periods. • The platform should integrate with the City's existing telematics hardware and Fleet Management Information System (FMIS). • The vendor should provide an open, standards-based Application Programming Interface (API) for data exchange. • The platform should include dashboards, mobile access, automated scheduling tools, and reporting features. • The vendor should provide training, onboarding, and ongoing support. • The City is looking for a vendor with experience in delivering predictive maintenance, telematics analytics, or AI-driven fleet management solutions for public sector, utility, transportation, or similarly complex fleet environments.