Predictive Maintenance Telematics and Analytics Platform
Overview
Fit Score
Settle Intelligence
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SUMMARY
KEY REQUIREMENTS
BUDGET
EstimateCONTRACT DURATION
TIMELINE
Release Date: March 12th, 2026
Questions Due to the City: March 24th, 2026
Posting of the Q&A: March 31st, 2026
Proposals Due: April 16th, 2026
Evaluation of Narrative & Cost Proposals: April 2026
Interviews/Demos/Site Visits: April 2026
Negotiation & Contractor Selection: May 2026
Estimated Contract Execution: May 2026
Proposer Debrief: After Contractor is Selected
Implementation Plan Submission: Within 30 days of contract execution
System Documentation Submission: Within 45 days of contract execution
Operational Data Pipeline Go-Live: At system go-live
Predictive Analytics Deployment & Calibration: Within 60 days of initial data ingestion
Operational Alerting System Go-Live: At system go-live
Web-based Dashboards & Mobile Application Access Go-Live: At system go-live
City-Specific Rules & Thresholds Configuration: Within 90 days of go-live
Formal Onboarding Sessions & System Administration Training: Prior to go-live
Role-based Training: Within 30 days of go-live
Quarterly Performance Report: Quarterly after go-live
System Performance Documentation: Monthly or quarterly, as defined in the contract
Quarterly Predictive Performance Review Meeting: Quarterly
Technical Support Services: Ongoing throughout the contract term
Regular Platform Updates: Ongoing per release schedule
Dedicated Customer Success Manager: Assigned at contract award and maintained throughout the contract term
QUESTION DEADLINE
Issuing Agency
City of Long Beach
Organization overview and procurement intelligence available on paid plans.
DESCRIPTION
The City seeks a vendor to provide and implement a comprehensive predictive maintenance telematics and analytics platform for its vehicle fleet. The proposed system must utilize real-time vehicle data, predictive analytics, and artificial intelligence to detect early signs of mechanical issues, forecast potential component failures, prioritize fault codes, and recommend appropriate maintenance actions.
The platform should be compatible with the City's existing telematics hardware where feasible and otherwise remain hardware-agnostic unless an alternative is proposed. It must collect and analyze engine diagnostics, vehicle usage, battery and electrical health, and a range of sensor data to support condition-based maintenance strategies and reduce unplanned downtime.
The vendor is required to provide an open, standards-based Application Programming Interface (API) that can integrate with the City's Fleet Management Information System (FMIS) and other relevant municipal systems. The API must support both real-time and batch data access, allowing for the automated retrieval of predictive alerts, fault codes (with severity levels), recommended maintenance actions, vehicle health insights, mileage, engine hours, and utilization statistics. The scope of work includes supplying all necessary hardware, software, analytics tools, integration services, and secure, compliant data storage.
Additional requirements may include providing telematics devices for both light-duty and heavy-duty vehicles, offering installation and removal services, and ensuring compatibility with existing devices when appropriate. The contract period will span two years.
Source attribution
This Settle analysis is based on the issuing organization’s public RFP listing.