Container Ports
Stabilize berth productivity, reduce rehandles, and protect reefer SLAs with explainable, closed-loop actions across TOS/RTG/STS telemetry.
Common challenges
Industry pain points
- Berth productivity swings; crane dispatch imbalance.
- Stack congestion and rehandles increase cycle time.
- Reefer monitoring gaps and alarm routing delays.
- ETA drift vs. labor plan; multiple TOS/RTG/STS feeds.
+7%
Moves per hour
-22%
Rehandles
99.6%
Reefer alarms caught
Crane balance vs. stack heat (placeholder)
Data fabric
Signals we ingest
- TOS data, OCR gates, RTG/STS telemetry.
- AIS vessel ETA, yard cameras, reefer sensors.
- Labor plan and gang assignments (optional).
Connect & deploy
- APIs + secure tunnels; cloud or on-prem.
- Explainable alerts for ops review and audit.
Closed-loop ops
Actions & automations
- Priority stack moves to clear hot rows.
- Crane balancing and gang-shift alerts.
- Reefer alarm routing → CMMS tasks with escalation.
- Turn-time SLA monitoring and incident playback.
Explainability example
Stack C3 risk rising. Why: hot row density + crane idle mismatch; reefer checks pending. Action: priority pulls + rebalance RTG 4→2.
Saliency bars (placeholder)
Modeled impact
Business impact
- Higher berth productivity and fewer rehandles.
- Better reefer compliance and alarm response time.
- Planning stability despite ETA drift.
+5–9%
Moves/hr
-18–30%
Rehandles
-35%
Reefer incidents
Live simulation (illustrative)
32.4
Moves/hr (berth)
12
Hot rows
3
Active reefer alarms
Balance trend (placeholder)