Unlock hidden capacity
in your terminal
loadmaster.ai adds AI planning plugins – stowAI, stackAI and jobAI – on top of your existing TOS. Our AI agents automate and optimize stowage plans and crane sequences, yard stacking locations and job allocations – cutting shifters and manual planning while increasing terminal throughput.
Trusted by container terminals
Our AI planning solutions
stowAI
stackAI
JobAI
Fully automates and optimizes container to vessel slot allocation, crane workqueue sequencing and crane bay sequencing resulting in reduction of shifters and increase quay crane productivity. Our AI agent generates a high-quality and executable full vessel plan in seconds, not hours. Imagine, constant real-time replanning?
Picks yard positions automatically by considering current and future terminal workloads instead of static rules. stackAI automates grounding, house-keeping and pre-positioning optimized for tomorrow’s flow, not today’s snapshot — reducing shifters and increasing yard productivity. Same yard, more moves, without adding physical slots.
Sequences and allocates equipment jobs in real time by reading live terminal state and equipment status. JobAI decides as late as possible, pools equipment, and pairs load moves to cut empty travel and keep quay cranes moving. Same fleet, more moves, less empty driving.
stowAI
Fully automates and optimizes container to vessel slot allocation, crane workqueue sequencing and crane bay sequencing resulting in reduction of shifters and increase quay crane productivity. Our AI agent generates a high-quality and executable full vessel plan in seconds, not hours. Imagine, constant real-time replanning?
stackAI
Picks yard positions automatically by considering current and future terminal workloads instead of static rules. stackAI automates grounding, house-keeping and pre-positioning optimized for tomorrow’s flow, not today’s snapshot — reducing shifters and increasing yard productivity. Same yard, more moves, without adding physical slots.
JobAI
Sequences and allocates equipment jobs in real time by reading live terminal state and equipment status. JobAI decides as late as possible, pools equipment, and pairs load moves to cut empty travel and keep quay cranes moving. Same fleet, more moves, less empty driving.
-95% manual planning hours
Eliminate manual planning effort
Our AI agent automatically generates stowage and crane sequencing plans in seconds, replacing hours of manual (replanning) work each vessel call.
~6% fewer shifters achieved
6% shifters on load moves
In live terminal production environments, our solutions have proven dramatic reduction of shifters of up to 6% on average over all load moves.
+5% extra throughput
Higher terminal throughput capacity
Up to 5% more throughput without adding physical yard slots, equipment or headcount – just better decisions, consistently applied across every shift.
Towards an agentic terminal?
Holistic planning optimization
Take the first steps to the agentic terminal. We turn your planning process into one agentic system, coordinating between the three individual agents to minimize total operating costs. Stop improving sub-processes. Start leading your industry.
Why terminals choose loadmaster.ai
Human-in-the-loop by design
We strive for the highest planning quality, but planners can still review or overwrite planning decisions before execution, right from their familiar TOS interface. The AI automates and assists, your team decides. Control stays where it belongs. Consistency comes with it.
No TOS replacement
Our plug-ins work alongside your existing Terminal Operating System. No migration, no disruption, no ripping out what already works. Before we go-live our solution is extensively tested and validated through shadow deployment, while we remain flexible to also integrate with inhouse simulations..
Building AI without historical data
Traditional machine learning learn from what's been done before, creating dependency on historical data accuracy and cleanliness. We take a different approach - our agents train in simulation, generating data on millions of scenarios including edge cases and extreme workloads. Building better strategies without historical data, instead of pattern-matching.
Custom-built per terminal
Our simulator is calibrated down to the finest detail on your yard layout, equipment mix, and operational constraints - not a generic one-size-fits-all template. This enables the agent to optimize decision making based on your context, while having a place to retrain the agent if things change on your terminal
On-premise or private cloud
ISO
9001
ISO
27001
🇪🇺
EU AI Act
GDPR
Compliant
Frequently asked questions
About loadmaster.ai
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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.
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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.
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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.
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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.
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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
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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.
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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.
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loadmaster.ai supports on-premise, private cloud, and hybrid deployments depending on your security, latency, and integration requirements.
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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.
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The simulator and AI models can be updated to reflect new layouts, equipment, or operational rules. The system adapts without rebuilding everything from scratch.