Equipment Intelligence

The Crane That Broke
Everything.

Titan Construction was 14 months into a 22-story mixed-use tower. 48 pieces of equipment on site. One crane failure cascaded into a 2-week schedule slip and $380K in added costs. POD would have seen it coming.

0
Equipment Fleet
0 days
Crane Downtime
0 days
Schedule Slip
$0K
Added Cost

Fleet Health at a Glance

POD monitors every piece of equipment in real time. Health scores, service intervals, and trend sparklines reveal problems before they escalate. On Day 14, the Tower Crane was already screaming for attention.

Tower Crane
0h since service
Health0%
Excavator
0h since service
Health0%
Concrete Pump
0h since service
Health0%
Generator
0h since service
Health0%
Man Lift
0h since service
Health0%
Loader
0h since service
Health0%

Critical Alert: Tower Crane health at 34% with 487 hours since last service. POD would have flagged this at 60% health — 7 days before the breakdown.

The Warning POD Would Have Caught

This timeline shows predicted maintenance windows for the fleet over 30 days. POD flags equipment at Day 8 — a full week before the crane actually broke down on Day 15. That 7-day window is the difference between a $12K service call and a $380K catastrophe.

Day 0Day 5Day 10Day 15Day 20Day 25Day 30Tower CraneExcavatorConcrete PumpGeneratorMan LiftLoader
Operational
Maintenance Due
Overdue / Down
POD Alert

7 days early: POD would have flagged the Tower Crane at Day 8 when health dropped below 60%. Scheduled maintenance during the planned concrete cure window would have cost $12K instead of $380K.

How One Failure Cascaded

Equipment failures never stay contained. The crane breakdown triggered a chain reaction through 6 downstream activities. Steel erection stopped. Concrete pours delayed. MEP pushed out. Inspection windows missed. Two weeks evaporated. $380K gone.

Crane DownDay 15Steel ErectionStoppedConcrete PourDelayedMEP Rough-InPushedInspectionWindow Missed2-WeekSchedule Slip$380KAdded Cost

The Cost of Reactive vs Predictive

Three approaches to equipment maintenance. Three wildly different outcomes. POD predictive maintenance saves 65% compared to reactive — turning emergency repairs, idle crews, and schedule impacts into planned, manageable costs.

Reactive Maintenance$0KRepair CostDowntime CostSchedule ImpactScheduled Maintenance$0KRepair CostDowntime CostSchedule ImpactPOD Predictive$0KRepair CostDowntime CostSchedule Impact
Repair Cost
Downtime Cost
Schedule Impact
$0K saved

65% cost reduction with POD predictive equipment intelligence vs reactive maintenance

7-Day Early Warning

POD flags equipment health drops a full week before typical breakdown, giving you time to schedule maintenance during planned downtime.

65% Cost Reduction

Predictive maintenance with POD costs 65% less than reactive repairs when you factor in downtime, idle crews, and schedule cascade impacts.

Zero Cascade Events

Projects using POD equipment KPIs report zero unplanned cascade events. Every potential failure is caught, scheduled, and resolved before it spreads.

Live Demo

Every KPI From a 5-Minute Voice Report

POD tracks hundreds of KPIs from a 5-minute voice report. Here are just 2 of them.

Schedule vs Budget

Schedule & Budget Performance

SPI 0.00CPI 0.00
25%50%75%100%$0$755K$1.5M$2.3M$3.0MJanFebMarAprMayJun
Planned Progress
Actual Progress
Planned Spend
Actual Spend
SPI0.00
CPI0.00
Sched Var+0.0%
Cost Var+0.0%
Schedule 3.0% behind planbudget 1.8% under target
PODMomentum Score

Momentum Score

POD
0
Accelerating — Velocity: 0.0
Dimensions
Schedule+0.0
Budget+0.0
Quality0.0
Safety+0.0
Momentum0
Velocity0.0
Accel+0.0
Project accelerating — momentum 78, velocity increasing by 3.0/period

These update in real time from a 5-minute voice report. No spreadsheets. No data entry.

Frequently Asked Questions

Stop Reacting. Start Predicting.

See how POD equipment KPIs turn reactive maintenance into proactive fleet intelligence.

Last updated: February 2026