The AI planning
platform for every
container terminal

Still relying on rule-based stowage and manual sequencing? loadmaster.ai connects to any TOS, simulates your terminal in real time, and delivers optimized plans — reducing rehandles, eliminating manual work, and increasing throughput.

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Our AI planning solutions

Icon stowAI

Optimizes vessel stowage plans to minimize rehandles and downstream reshuffles. AI-generated stowage plans in seconds, not hours.

Icon stackAI

Improves yard stacking strategies to increase container accessibility and density. Fewer moves, smarter placement, better flow across the entire yard.

Icon JobAI

Optimizes job sequencing and equipment allocation for maximum crane productivity. Every piece of equipment runs at peak efficiency.

-95% manual planning

Eliminate manual planning effort

AI generates optimized stowage and crane sequencing plans in seconds, replacing hours of manual work per vessel call.

-50% fewer rehandles

Up to 50% fewer reshuffles

Smarter upstream stacking and stowage decisions dramatically reduce costly rehandles, crane moves, and yard congestion.

+10% yard throughput

Higher yard throughput capacity

5-10% more throughput without adding equipment or headcount – just better decisions, consistently applied across every shift.

How loadmaster.ai works

What terminal operators say

[PLACEHOLDER] loadmaster.ai transformed how we approach vessel planning. What used to take two planners half a day is now done in minutes - with better results and fewer rehandles on the next call.

[PLACEHOLDER] John van der Berg

Terminal Manager

1/

[PLACEHOLDER] The explainability is what makes the difference. Our team trusts the recommendations because they can see exactly why a stacking strategy is preferred and what trade-offs are involved.

[PLACEHOLDER] Maria Santos

Yard Planning Lead

2/

[PLACEHOLDER] We were skeptical about AI in terminal planning. But loadmaster.ai proved itself in simulation first. Seeing the results before going live made the decision easy.

[PLACEHOLDER] Thomas Eriksen

Operations Director

3/

Why terminals choose loadmaster.ai

Human-in-the-loop by design -
Planners review and approve every recommendation before execution. The AI advises, your team decides. Control stays where it belongs.

No TOS replacement -
loadmaster.ai works alongside your existing Terminal Operating System. No migration, no disruption, no ripping out what already works.

On-premise or private cloud
- Deploy on your own infrastructure for full data control and low latency. Hybrid options available for analytics and reporting.

Custom-built per terminal - The simulator is calibrated to your exact yard layout, equipment mix, and operational constraints - not a generic one-size-fits-all template.

On-premise or private cloud
ISO
9001
ISO
27001
🇪🇺 EU AI Act
GDPR
Compliant

Frequently asked questions

About loadmaster.ai

No. loadmaster.ai complements your TOS. The TOS remains the system of record and execution. loadmaster.ai improves decision quality upstream by simulating and optimizing plans before they are applied.

Classical optimization solves a single snapshot using predefined rules and objectives. loadmaster.ai simulates terminal behavior and learns strategies over time - accounting for downstream effects and changing conditions instead of producing one-off plans.

Reinforcement learning needs an environment where decisions can be tested and improved through feedback. You cannot safely experiment in live operations. The simulator provides a realistic environment where thousands of strategies can be tested without any operational risk.

Yes, because all learning happens inside the simulator - not in live operations. Only validated recommendations are exposed to planners. Your team and existing systems remain in full control of execution at all times.

Every recommendation includes a clear explanation of why it is preferred and what trade-offs it involves. Planners can compare alternative strategies and see their expected impact on operational KPIs before applying anything.

Integration and implementation

Implementation is phased. Initial integration focuses on data ingestion and simulator calibration. AI optimization modules are rolled out incrementally per use case, minimizing disruption to live operations throughout the process.

Historical operational data, yard and equipment configuration, and access to relevant TOS interfaces. Exact requirements depend on terminal size and the use cases in scope.

loadmaster.ai supports on-premise, private cloud, and hybrid deployments depending on your security, latency, and integration requirements.

loadmaster.ai is designed for environments where planning complexity creates nonlinear effects - rehandles, congestion, inefficient crane utilization. For terminals where manual planning scales easily, the platform may be more than needed.

The simulator and AI models can be updated to reflect new layouts, equipment, or operational rules. The system adapts without rebuilding everything from scratch.

Discover the future of
container planning