Major international port operator managing high-volume terminals worldwide
Container handling with 24/7 operations dependent on STS cranes, RTG cranes, and automated vehicles
Equipment-intensive cargo movement requiring zero-downtime reliability for vessel schedules and customer commitments
Replace calendar-based maintenance with AI predictions that prevent failures, optimize costs, and ensure safety across global terminals
Parts replaced regardless of condition, wasting money while real issues went undetected
Sudden crane and vehicle failures halted vessels, caused congestion, and triggered penalties
Unnecessary replacements plus emergency repairs drove budgets out of control
Unexpected breakdowns endangered operators and ground crews under time pressure
Spare parts stockpiled expensively without knowing true failure risks
No predictive insights into failure patterns across assets or terminals
Vibration, temperature, pressure, and electrical monitoring on critical components like hoists and motors
On-site analysis delivers instant alerts without cloud dependency
Models trained on failure data forecast remaining life and prioritize actions
Global visibility into trends and model improvements across terminals
Alerts, health scores, and work orders delivered directly to field teams
Predictions feed into yard systems for automated maintenance scheduling
Harsh-environment sensors capturing vibration, temperature, pressure, and electrical signals
On-terminal processing for immediate threshold alerts and local analysis
Failure-pattern recognition predicting component life and impact
Secure aggregation enabling multi-terminal monitoring and model refinement
Real-time alerts, scores, and digital work orders for technicians
Assessment, data integration, and deployment scaling from critical assets
Unplanned downtime dropped 85% with maintenance during planned windows
Uptime jumped 40% as failures got caught weeks early
Spending fell 50% by eliminating unnecessary part replacements
Equipment incidents nearly disappeared through proactive fixes
Components lasted 30% longer with precise intervention timing
85% less unplanned downtime and 40% higher equipment availability
Incidents eliminated through planned repairs and risk monitoring
50% lower spending, 35% reduced inventory, 20% better crew productivity
Failure patterns informing procurement, operations, and capex planning
Learnings from one terminal improving predictions worldwide
You’re one step away from building great software. This case study will help you learn more about how Simform helps successful companies extend their tech teams.
Discover cutting-edge ideas and insights from the world of technology and business.
You’re one step away from building great software. This case study will help you learn more about how Simform helps successful companies extend their tech teams.
