Use Case • Ports • AI Assistant
Use Case:
Sea Ports
AI-powered operations for port safety, inspection, and predictive uptime.
Lumina: Port Knowledge & Training
🏭 Operational Challenge
Sea port operators need real-time data and instant operational support to manage high safety risks, complex procedures, and constant regulatory pressure. Traditional training is slow, and critical knowledge remains siloed across departments.
☑️ Applicable Solutions
- ☑️ Lumina Core: AI engine for real-time port ops monitoring
- ☑️ Lumina Knowledge: Scanning SOPs and compliance manuals
- ☑️ Lumina Support: On-demand guidance to reduce errors
- ☑️ Lumina Academy: Ongoing training across departments
💰 Business Impact
- 💰 Cuts training costs (30% of OPEX)
- 💰 Reduces human-error risks in daily ops
- 💰 Works offline for secure port networks
- 💰 Breaks knowledge silos across shifts
📊 Quantifiable Metrics
- 📊 75–96% human error reduction potential
- 📊 Faster workforce readiness
- 📊 Real-time guidance for safer ops
- 📊 AI support reduces tribal knowledge reliance
Container & Cargo Inspection
🏭 Operational Challenge
Manual inspection slows container flow and limits visibility. Mobile-based AI scanning boosts accuracy beyond 99%, reducing congestion, delays, and costly trade disruptions caused by inconsistent manual checks.
☑️ Applicable Solutions
- ☑️ Vision: 180° scanning of containers and cargo
- ☑️ Operations: Digital Logbook for inspections
- ☑️ Operations: Shift Handover with scan history
💰 Business Impact
- 💰 7x faster inspections (3,600 containers/hour)
- 💰 90% labour cost reduction
- 💰 Fewer quality disputes and delays
- 💰 Stronger compliance and traceability
📊 Quantifiable Metrics
- 📊 99.99% inspection accuracy
- 📊 <1s defect detection
- 📊 3,600 containers/hour throughput
- 📊 Zero extra inspectors needed
Predictive Crane & Equipment Maintenance
🏭 Operational Challenge
Crane failures disrupt vessel schedules and cripple terminal operations. Unplanned downtime often results from reactive maintenance and limited predictive visibility into equipment health.
☑️ Applicable Solutions
- ☑️ Predictive Analytics: Crane condition monitoring
- ☑️ 24h AI failure forecasting
- ☑️ Instant alerts on anomalies
- ☑️ Operations: Maintenance logbook and task automation
💰 Business Impact
- 💰 Prevents unplanned crane downtime
- 💰 Reduces emergency maintenance costs
- 💰 Increases equipment uptime
- 💰 Enhances terminal flow and ship turnaround
📊 Quantifiable Metrics
- 📊 24h advance failure alerts
- 📊 <5% false alarm rate
- 📊 Reduced maintenance costs (15–25% OPEX)
- 📊 Self-learning AI model improvements
