{"resourceId":"apex-long-beach-fleet-predictive-maintenance-results","versions":[{"version":"external-ddf0ae67f7e35ea0d19e706e68d85f06f48681c4f2a2393c80697900d6a9ade0","resource":{"id":"apex-long-beach-fleet-predictive-maintenance-results","title":"Predictive Maintenance in Use: Beyond the Pilot","organization":"Town of Apex, North Carolina; City of Long Beach, California","sector":"Public fleet","geography":"North Carolina and California, US","publishedAt":"October 28, 2026","publicationDate":"2026-10-28","eventDate":null,"sourceName":"Modern Public Fleet","sourceLabel":"Trade publication feature","sourceUrl":"https://modernpublicfleet.com/predictive-maintenance-in-use-beyond-the-pilot/","evidenceClass":"independent-reporting","outcomeClass":"effective","topics":["operating-model","accessibility-workforce","infrastructure"],"finding":"Two public fleets describe predictive maintenance using telematics and diagnostic codes. Long Beach piloted Pitstop for two years on more than 600 heavy-use vehicles, then expanded to 1,600 units; vehicle availability rose to a consistent 93 to 94 percent from 90 to 91 percent, and scheduled maintenance rose to 74 percent of work from 70 percent. Apex piloted Uptake on 425 units for nearly a year but could not collect measurable results; an early alert saved a fire engine's engine. Software can cost up to $12 per vehicle per month; Long Beach estimates $120,000 a year for 1,600 vehicles. Lessons include tuning noisy alerts and assigning who acts on them.","sledRelevance":"Rare measured public-fleet results for AI-enabled predictive maintenance, plus cost and workflow lessons, directly useful to city and county fleet managers.","evidence":"Trade reporting with fleet-manager figures; Long Beach availability and scheduled-work metrics are self-reported without method detail; Apex has no measured results.","architectureImplications":"Predictive software integrates with existing telematics (Geotab) and fleet management systems (Fleetio); alerts work best inside systems technicians already use.","governanceImplications":"Alert classification and routing rules (for example reclassifying CNG cold-start misfire codes) are operational governance decisions.","securityPrivacyImplications":"Telematics data on employee-driven vehicles needs access policies; not discussed.","caveats":"Two fleets; self-reported metrics; vendor CEO quoted; Long Beach is switching vendors, limiting attribution.","streamIds":["transportation"],"roles":{"sales":"This is a measured public-fleet story: Long Beach raised availability from about 90-91 percent to 93-94 percent after predictive maintenance, while Apex values workload relief despite no metrics. The conversation is about downtime, road calls and short-staffed shops, framed against subscription cost of up to $12 per vehicle per month. A bounded offer is a pilot with metrics set before launch, which Apex lacked.","engineering":"Predictive maintenance sits on top of existing telematics and FMIS. Engineering checks include data feeds from mixed vehicle types, alert tuning for noisy codes such as CNG cold-start misfires, and routing alerts to supervisors by vehicle ownership. Proof of value should compare predicted failures with actual breakdowns and measure alert precision before fleet-wide rollout. Coverage of older and specialized vehicles, such as fire apparatus, should be confirmed with the vendor before contracting.","delivery":"Delivery lessons are explicit: make alerts useful, decide who acts on them and embed them in technicians' existing tools. Interpretation: define availability, road-call and scheduled-versus-unscheduled work baselines before the pilot. Ownership sits with fleet services, with department liaisons for vehicle hand-off. Budget approval for scaling is a real dependency, as Apex shows. Starting with high-failure vehicle groups, as Apex did with yard waste trucks, is a practical phased path."},"roleDetails":{"sales":{"customerProblem":"Understaffed public fleet shops face unplanned breakdowns, road calls and vehicle downtime.","stakeholders":["Fleet services managers","Department fleet liaisons (police, fire, public works)","Finance and budget offices"],"discoveryQuestions":["What are current availability and road-call rates?","Which telematics and FMIS are in place?","Who will act on critical alerts?"],"valueHypothesis":"Predictive maintenance may raise availability and shift work to scheduled maintenance, as Long Beach reports, at a known per-vehicle cost.","potentialEngagement":"A predictive-maintenance pilot with pre-set metrics and alert-tuning plan.","unsupportedClaims":["Guaranteed ROI","Staff reductions","Results for fleets without telematics"]},"engineering":{"fit":"Fits fleets with existing telematics and an FMIS.","architectureIntegration":"Integrates with telematics (for example Geotab) and FMIS (for example Fleetio) to push alerts.","prerequisites":["Telematics on vehicles","FMIS integration","Baseline maintenance metrics"],"constraints":["Subscription cost scales with fleet size","Vehicle-type coverage varies"],"security":"Telematics data on employee-driven vehicles needs access controls.","proofOfValue":["Compare alerts with actual failures","Measure alert precision","Track availability monthly"]},"delivery":{"work":"Pilot and scale predictive maintenance with workflow integration.","dependencies":["Telematics vendor","FMIS","Department liaisons"],"ownership":"Fleet services","skillsAdoption":"Technicians and supervisors need training; turnover requires ongoing training.","governanceCheckpoints":["Metrics defined before pilot","Budget approval for scale"],"acceptanceCriteria":["Proposed: availability improves versus baseline","Proposed: scheduled share of work rises","Proposed: alert precision reviewed quarterly"],"risks":["Alert fatigue","Unmeasured pilots","Vendor switching costs"]}},"retrievedAt":"2026-10-31T22:01:38-05:00","enrichedAt":"2026-10-31T22:07:56-05:00","enrichmentBasis":"retrieved source","accessibilityWorkforceImplications":"Helps understaffed shops (Apex has five technician positions for a 675-unit fleet versus nine needed); not a staff replacement.","procurementImplications":"Per-vehicle subscription pricing requires ROI framing around road calls, towing and downtime.","operatingModelImplications":"Department liaisons bring vehicles in on predicted failures; workflow integration determines success.","sourceVerification":{"openedUrl":"https://modernpublicfleet.com/predictive-maintenance-in-use-beyond-the-pilot/","referenceExcerpt":"Winterset confirms that vehicle availability has risen to a consistent 93%-94%, up from 90%-91% before implementing predictive maintenance.","promptVersion":"sled-research-v4.0","model":null,"basis":"agent-reported inspection"}}}]}