Predictive Equipment Maintenance
with Private 5G IoT
AI-powered predictive maintenance for conveyors, sorters, HVAC, and material handling equipment to eliminate unplanned downtime.
Why Now
Downtime Costs
Each hour of conveyor downtime costs $50K in lost fulfillment capacity
Equipment Age
Aging infrastructure nearing end of life; failures increasing 40%/year
Peak Season Risk
Cannot afford equipment failures during Q4 when 60% of revenue occurs
Labor Shortage
Cannot hire enough maintenance techs; must optimize existing workforce
Technology Maturity
Vibration analysis and ML now 90% accurate for failure prediction
Automation Dependency
More AGVs, robots, sorters = higher criticality of predictive maintenance
The Operational Challenge
Reactive maintenance and unexpected equipment failures disrupt warehouse operations.
Unplanned Downtime
Conveyor failures halt operations for 4-8 hours, costing $50K per hour in lost productivity
Reactive Maintenance
Fix equipment after failure instead of preventing failures proactively
Overtime Costs
Emergency repairs require expensive overtime and expedited parts at 3x cost
Limited Visibility
No insight into equipment health until catastrophic failure occurs
Preventive Waste
Time-based PM schedules replace healthy components, wasting $800K annually
Peak Season Risk
Equipment failures during peak season cause $2M in missed revenue opportunities
The Private 5G Enabled Solution
Continuous Monitoring
Vibration, temperature, acoustic, current sensors on all critical equipment
AI Failure Prediction
Machine learning predicts failures 1-3 weeks in advance with 90% accuracy
Health Scoring
Real-time equipment health scores prioritize maintenance resources
Automated Alerts
Instant notifications when anomalies detected, preventing catastrophic failures
Work Order Automation
System generates maintenance tickets automatically based on predictions
Performance Analytics
Track OEE, MTBF, MTTR to optimize equipment performance