Features
Implement Every Constraint
We design and implement algorithms tailored to complex planning operations, modeling every operational constraint that conventional solutions fail to capture.
Surpassing Human Limits
Leveraging world-class optimization technology, we generate executable plans that surpass human capabilities in both speed and precision—enhancing profitability and reducing operational risk.
Systemizing Expertise
We formalize expert knowledge and embed it into intuitive systems, eliminating dependency on individual specialists and ensuring sustainable, organization-wide planning capability.
Logistics Optimization
We optimize end-to-end logistics planning—from the global sourcing of resources to distribution across
multiple domestic facilities—encompassing maritime and multimodal transportation.
Our AI-powered
optimization solutions integrate constraints across plants, suppliers, ports, and shipping operators to
deliver executable logistics plans that balance cost efficiency with risk mitigation.
- Optimization of fuel and raw material transportation
- Laytime optimization and mitigation of cancellation risks
- Serving natural resources, energy, and materials industries, as well as transportation and logistics sectors
Key Capabilities
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01
Integration of Complex Constraints
Our solution seamlessly incorporates operational constraints across vessels, ports, storage facilities, and transportation networks—without the need for complex mathematical model design.
As business conditions evolve, priorities and parameters can be flexibly adjusted to reflect changing operational realities.
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02
Intuitive and Enterprise-Ready Interface
Our web-based platform enhances the efficiency of plan review and scenario comparison, empowering both seasoned domain experts and operational planners to make informed decisions with clarity and speed.
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03
Optimization Within Practical Decision Cycles
Optimization is completed within practical decision timeframes—from just a few minutes to approximately 30 minutes.
This enables rapid scenario evaluation and timely, data-driven decision-making in highly dynamic logistics environments.
Energy Optimization
We optimize energy and utility planning across multiple facilities and production sites.
By embedding AI-driven optimization into supply, demand, and operational constraints, we reduce raw material
consumption and utility costs while enhancing the accuracy and robustness of planning.
Our solution
accelerates plan development and supports both mid- to long-term strategic energy planning and day-to-day
operational optimization.
- Coordination of tank storage and energy supply
- Management of multiple raw materials, blending constraints, and contractual conditions
- Reduction of operating and utility costs
Key Capabilities
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01
Integration of Complex Energy and Utility Constraints
Our solution integrates generation capacity, storage limitations, fuel constraints, blending conditions, and operational restrictions—without requiring intricate model design.
It enables coordinated optimization across multiple energy sources and facilities, supporting system-wide energy planning.
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02
Scenario-Based Energy Planning
Multiple supply and demand scenarios can be evaluated in response to price volatility, demand fluctuations, and evolving operational policies.
This enables informed decision-making that balances cost efficiency, supply reliability, and operational feasibility.
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03
Optimization Within Practical Decision Cycles
Optimization is completed within minutes—up to approximately 30 minutes—allowing organizations to respond swiftly to demand variability and operational disruptions.
Transportation Optimization
We optimize transportation planning for bus and rail operations across complex service networks.
By
incorporating daily demand variability and operational constraints, our AI-driven solution generates efficient
timetables, vehicle assignments, and route plans aligned with real-world operating conditions.
Through the evaluation of multiple operational scenarios, we identify cost-efficient, risk-aware
transportation strategies that enhance service reliability while minimizing operating expenditures.
- Optimization of timetables and vehicle scheduling
- Depot allocation and yard in/out flow planning
- Reduction of empty vehicle movements and inefficient turnarounds
Key Capabilities
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01
Integration of Complex Operational Constraints
Our solution integrates vehicle circulation, depot capacity limitations, crew scheduling regulations, maintenance requirements, and turnaround constraints—without requiring intricate model design.
It enables coordinated optimization across routes and time horizons, supporting system-wide operational alignment.
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02
Demand-Responsive Scenario Planning
A range of operational scenarios can be evaluated based on demand variability, service-level requirements, and cost objectives.
This enables informed, data-driven decision-making that balances efficiency, operational reliability, and service quality.
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03
Optimization Within Practical Decision Cycles
Optimization is completed within minutes—up to approximately 30 minutes—allowing rapid timetable adjustments and operational realignment in response to changing conditions.
Production Optimization
We deliver advanced production scheduling optimization for multi-product, multi-line manufacturing
environments.
By optimizing production timing and cost structures while incorporating inventory
levels, our solution enables highly efficient operational plans that minimize changeovers and improve asset
utilization.
It also supports scalable production planning aligned with future demand scenarios and
capacity expansion strategies.
- Integrated production planning, inventory coordination, and production transfer management
- Incorporation of setup times, utilization rates, and shutdown/restart costs
- Applicable to manufacturing, materials, energy, and chemical industries
Key Capabilities
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01
Integration of Complex Manufacturing Constraints
Our solution integrates production capacity limits, changeover requirements, operating rates, inventory constraints, and shutdown/restart conditions—without requiring intricate model design.
It supports both batch and continuous production environments, enabling coordinated optimization across processes and production lines.
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02
Optimization Within Practical Decision Cycles
Optimization runs are completed within minutes—up to approximately 30 minutes—allowing rapid re-planning in response to shifts in demand, supply conditions, or operational disruptions.
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03
Adaptive Performance in Evolving Operations
The optimization framework flexibly accommodates new product introductions, facility expansions, and process modifications, ensuring stable and scalable performance as manufacturing environments evolve.