Manual decking decisions cost terminals millions in unnecessary rehandling, inefficient space utilization, and extended vessel turnaround times. Our AI-powered intelligent decking solution eliminates guesswork, automates complex placement rules, and continuously learns from operational patterns to optimize every container move.
The Hidden Cost of Manual Decking
- Rehandling Expenses: Manual placement leads to 25–40% unnecessary container moves.
 - Decision Delays: Operators spend valuable time analyzing optimal placement options.
 - Inconsistent Rules: Human error and varying expertise create placement inconsistencies.
 - Space Waste: Suboptimal stacking reduces effective yard capacity by 15–20%.
 
AI-Driven Decking Intelligence
- Smart Placement Algorithms: Real-time analysis of container characteristics, vessel schedules, and dwell time predictions.
 - Automated rule application considering weight distribution, accessibility, and future moves.
 - Dynamic learning from historical patterns and operational feedback.
 - Integration with yard management systems for seamless execution.
 
- Automated Decking Rules Engine: Configurable business rules that adapt to terminal-specific requirements.
 - Automated compliance with safety regulations and operational constraints.
 - Exception handling for special cargo (reefer, dangerous goods, oversized).
 - Real-time rule optimization based on performance analytics.
 
Predictive Stacking Intelligence
- Machine learning models predict optimal stack positions based on:
 - Container pickup probability and timing
 - Vessel discharge sequences and port rotations
 - Historical move patterns and seasonal trends
 - Equipment availability and operational constraints
 
Measurable Impact
- 65% reduction in container rehandling moves.
 - 30% faster decking decision-making.
 - 25% improvement in yard space utilization.
 - $2–5M annual savings for medium-sized container terminals.
 
Technical Capabilities
- Real-time integration with existing TOS and yard management systems.
 - Cloud-based AI processing with on-premise deployment options.
 - Customizable rule sets and performance KPI tracking.
 - Mobile interfaces for equipment operators and supervisors.
 
    
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