Construction equipment service teams forecast maintenance from telematics, machine hours, fault codes, and repair history — so preventive work lands in a real service window before an excavator, loader, or telehandler goes down on a jobsite.
ServiceWindow AI reads telematics, fault codes, machine hours, and repair history from your fleet, forecasts what will need service in the next 14 days, and shows the open technician windows to book against — so preventive work lands before a jobsite loses the machine.
AI Scheduling Insight — Six forecasted services are not booked. Adding two mobile slots at North Quarry raises coverage from 79% to 86% and protects 18 more hours.
The predicted service windows feed alerts, the maintenance copilot, dispatch, quotes, parts, and compliance — one shared, structured record across the whole equipment-service pipeline.
Predictive Maintenance AlertsReview machine alerts and decide the next maintenance action. Each alert shows its machine and type, severity, the predicted service window, and how confident the model is.
Maintenance Predictive AnalyticsInspect a machine's predicted maintenance condition and the signals behind it — component, risk level, the recommended service window, the failure signal, model confidence, and last service.
Maintenance CopilotWork through a machine issue with AI-assisted troubleshooting and service guidance. Each session tracks issue, priority, the technician on it, and where the fix stands.
Maintenance Dispatch AutomationSchedule maintenance work into available technician and service windows. Each job carries its service type, the technician, the scheduled window, and its dispatch status.
Technical Knowledge RAGFind trusted technical guidance and apply it to a maintenance question. Each document shows its type, equipment, version, source, and how well it matched.
Quote AutomationCreate and approve a service quote from the machine and repair requirements. Each quote carries its customer, service type, estimated amount, validity, and status.
Document ExtractionReview extracted service information against its original source document. Each document shows its type, equipment, extraction status, confidence, and when it arrived.
Inventory IntelligenceResolve parts shortages and replenish inventory before service work is affected. Each part shows its stock status, when it's required, current availability, and the warehouse.
Compliance AutomationReview compliance tasks and resolve missing or expired maintenance records. Each requirement carries the machine, the supporting evidence, the expiration, and the owner.
Jobsite Service MapSee due assets and booked windows for each jobsite — with failure risk and technician ETA — so downtown lifts, quarries, and yard-based fleets are covered by the closest available crew.
Pull engine hours, fault codes, machine data, and repair history from every excavator, loader, backhoe, and telehandler on the jobsite.
The model turns telemetry and history into a 14-day service forecast — the next machines due, the component at risk, the model's confidence, and the best window to book.
Slot the predicted work into open technician windows, dispatch the crew to the jobsite, and log the sign-off so the machine never disrupts a rental or a job.
ServiceWindow AI is built around the safety, mechanical, and emissions standards that govern heavy equipment on a jobsite — here is what it tracks out of the box.
Keeps excavators, loaders, dozers, and backhoes in safe operating condition with documented inspections — every predictive service and its sign-off is logged against this rule.
Governs inspection and maintenance of earthmoving and material-handling gear — every Next-Best Queue job is tied to the required competent-person checks before dispatch.
Sets design, operation, and maintenance rules for telehandlers on construction sites — operator-care intervals and load-chart checks are scheduled on every TL-class asset.
Caps NOx and particulate emissions on off-road diesel engines — DPF regen, DEF, and after-treatment service windows are tracked so fleet engines stay Tier 4 compliant.
Connected sensors and a plug-in telematics dongle that stream vibration, temperature, engine, and location data straight from the jobsite into the platform — so the 14-day service window and the Jobsite Service Map stay driven by real machine data.
A pocket-size BLE MEMS vibration and temperature sensor that magnet-mounts on a hydraulic pump, gearbox, or bearing housing. It streams RMS-velocity and skin-temperature readings straight into your Predictive Maintenance Alerts dashboard, so bearing wear, imbalance, and misalignment surface days before a jobsite failure.
A plug-in SAE J1939 / OBD-II telematics dongle with cellular and GPS that reads engine hours, fault codes, fuel, and idle time from any excavator, loader, or telehandler. It feeds the live telemetry into your Predictive Maintenance Scheduling forecast, keeping the 14-day service window and Jobsite Service Map driven by real machine data.
Flat pricing for the whole platform — no per-asset maths, no tiered gates on predictive maintenance or dispatch. Talk to us and we’ll tune it for your fleet size.
Full access to every module — predictive scheduling, alerts, copilot, dispatch, quote automation, technical knowledge, and the compliance and inventory modules.
Know moreA one-time setup that gets your service team live before the first billing cycle — we import your fleet, service history, and open jobs, wire ServiceWindow AI to the telematics feeds and depots you already run, and tune every predictive, dispatch, and compliance module to how your service crew works a jobsite. Each fee below is a starting point: we scope the final onboarding once we understand your fleet size, security needs, integrations, data volume, compliance requirements, and how you want the platform deployed.
Everything in Essential, plus:
Everything in Plus, plus:
ServiceWindow AI runs on the sensitive material your operation wins work on — OEM fault codes, rental contracts, service history, and the failure-risk predictions built on them. Run it whichever way your data policy requires.
Runs in Nestack’s managed cloud — nothing to provision, the fastest way to get your service crew live. We handle hosting, updates, and scaling so your team just logs in and works.
The same platform deployed inside your own infrastructure — your cloud, VPC, or on-prem — for data-sensitive fleets. Your telematics, contracts, and failure-risk predictions never leave your environment, and the subscription stays exactly the same.
How ServiceWindow AI forecasts, schedules, and books preventive service across a construction equipment fleet.
See the platformServiceWindow AI forecasts equipment service needs from telematics, machine hours, and repair history, then books preventive work into open technician windows — so excavators, loaders, telehandlers, and dozers stay running on the jobsite.
Telematics feeds, fault codes, machine hours, fuel and idle time, DPF/DEF service data, and repair and inspection history from every asset in the fleet — either through an OEM API or a plug-in J1939 / OBD-II dongle.
A rolling 14-day view of every machine due for service, with the component at risk, the recommended service window, model confidence, and the hours of downtime the booking would avoid — 28 assets due, 79% booked, 146 hours protected on today's read.
Model confidence currently runs at 87%, with a +3 point trend as more telematics history lands. Every forecast carries its own confidence score, so a coordinator sees where to look rather than trust a black box.
The forecast drops into Maintenance Dispatch Automation as a Next-Best Queue. Coordinators slot the predicted work into open technician windows on the calendar, and the crew and jobsite ETA are dispatched from the Jobsite Service Map.
Every predictive service and its competent-person check is logged against the relevant OSHA rule (1926 Subpart O, 1926.602), ANSI/ITSDF B56.6 for telehandlers, and EPA Tier 4 for the diesel engine after-treatment — so the audit trail is already there.
Construction equipment service teams — fleet managers, service coordinators, dispatchers, and technicians running preventive maintenance across rental yards, jobsites, and mobile crews.
Tell us who you are, pick what you want to see, then grab a time — we’ll run ServiceWindow AI on your own machines and jobsites.
Takes a few seconds — so we come ready with the right machine mix for your team.