A multinational port operator with 140+ market presence, managing 92 million containers annually
Integrated logistics, port terminal management, maritime solutions, and free trade zone services
High-volume container movement supporting major global supply chains with critical service continuity requirements
Replace manual vessel planning with intelligent automation that scales with volume growth while eliminating resource waste and operational bottlenecks across terminal networks
Manual crane assignments produced under/over-utilization patterns, causing dock blockages and throughput bottlenecks across terminals
Poor container placement required extensive manual corrections and shifting, compounding vessel departure delays
Planners consumed by repetitive tasks with limited capacity for strategic decision-making as planning cycles grew exponentially
Rapid volume growth forced impossible choices between operational speed and planning precision
Legacy approaches are unable to adapt to shifting schedules and growing yard complexity at scale
Deep Q-Learning models handle crane assignments, container stacking, and yard balancing across fluctuating operational conditions
Embedded within the existing Zodiac platform for planner familiarity with real-time data flow, eliminating information silos
Instant scenario analysis matching planning moves to the current operational state across multiple simultaneous vessel operations
Flexible design accommodates diverse vessel types, container loads, and scheduling demands without performance degradation
Background automation frees planning teams for high-value strategic decisions while maintaining service responsiveness
Core AI engine analyzing millions of planning scenarios for optimal real-time decision-making
Instant operational state matching enabling sub-minute planning cycle completion
Native embedding ensuring frictionless data exchange and planner adoption
Unified information flow across yard, planning, and crane operations, breaking down system silos
Performance consistency maintained across terminal networks and rising container volumes
Automated decision-making compressed scheduling cycles from hours to minutes
Intelligent resource allocation eliminated dock blockages and throughput bottlenecks
AI-optimized container placement reduced manual yard shifting and enhanced vessel stability
Instant response to fluctuating container flows and scheduling changes across terminals
Consistent performance maintained across rising volumes without operational compromise
8x throughput increase freed planners from repetitive tasks for strategic focus
10% crane efficiency improvement, accelerated container movement, and terminal throughput
10% better load distribution, minimized yard shifting, and improved cargo safety
Real-time adaptation to volume fluctuations and schedule changes maintained service continuity
Consistent speed, accuracy, and quality sustained across expanding operational demands
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.
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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.
