Marine Solver is powered by original economic-mathematical optimization models developed specifically for commercial maritime planning. The platform is designed for the decision layer where cargo selection, vessel assignment, voyage chaining, fleet utilization, costs, emissions and timing constraints interact.

Marine Solver is not a navigation tool and not a simple distance calculator. It works at the pre-fixture commercial level: comparing feasible alternatives, identifying stronger combinations and supporting decisions before operational commitments are made.

Marine Solver supports several planning modes that reflect different real commercial situations: Solo Cargo for full-load voyage planning, Part Cargo for multi-cargo and parcel combinations, COA for contract and lifting-program planning, and Trader Fleet for fleet-level coverage of larger transportation programs.

This structure allows users to move from a single cargo opportunity to complex fleet allocation problems without changing the underlying decision logic. The same platform can support spot cargo evaluation, part-cargo assembly, contract execution and strategic fleet coverage planning.

The Solo Cargo mode helps evaluate full-vessel employment opportunities by combining cargo details, vessel open position, laycan, port rotation, voyage expenses, fuel consumption, canal costs, port costs, emissions exposure and expected profitability.

It is especially useful when the question is not only whether a voyage is feasible, but which available vessel creates the best commercial result under the selected objective: minimum cost, maximum profit, minimum non-productive time or minimum emissions.

Part Cargo is designed for cases where several cargoes, parcels or onboard commitments must be evaluated together. The model can account for different loading and discharge ports, cargo compatibility, mandatory or excluded assignments, onboard cargoes, sequential and parallel loading/discharging logic, and complex cargo-vessel combinations.

For general cargo operations, Marine Solver also supports extended cargo parameters such as dimensions, unit weight, number of units, area requirements, tiers, on-top restrictions and vessel space logic. This makes the Part Cargo mode suitable not only for liquid and dry bulk planning, but also for more complex cargo placement and space-utilization decisions.

The COA mode helps analyze lifting programs and contractual transportation obligations across available vessels and market opportunities. It supports the planning logic required when the goal is not only to optimize one voyage, but to understand how a sequence of liftings can be covered efficiently over time.

This allows users to compare contract execution scenarios, evaluate vessel utilization, identify bottlenecks and assess how spot opportunities may interact with longer-term contractual commitments.

Trader Fleet introduces a broader fleet-level perspective. Instead of asking which cargo is best for one vessel, it evaluates how effectively an available fleet can cover a transportation program under real operational and commercial constraints.

The module identifies which cargoes can be transported, which vessels should be assigned, which opportunities remain uncovered, and how the overall fleet deployment changes when objectives, laycan flexibility, vessel positions or commercial assumptions are adjusted.

Large cargo programs often begin as trade flows rather than individual nominations. Marine Solver includes Flow-Based Cargo Generation, allowing users to define expected cargo flows by loading and discharge locations, expected volumes, cargo size ranges, timing assumptions and commercial parameters.

The system converts these flow assumptions into detailed cargo programs that can be used directly in optimization. This helps planners move from market expectations to executable transportation scenarios within the same environment.

Marine Solver is built around practical feasibility. The platform accounts for vessel open positions, availability dates, laycan windows, configurable deviations, safety buffers, cargo-vessel compatibility rules, fixed assignments, exclusions, freight structures, port waiting time, bunkers, canal costs and voyage expenses.

These parameters allow users to control the solution space without turning the platform into a rigid black box. A planner can test stricter or more flexible assumptions and immediately see how the feasible fleet deployment changes.

Marine Solver does not force users into a single answer. Each optimization run can generate multiple alternative scenarios, making it possible to compare different strategies and understand the trade-offs between cost, time, emissions and profitability.

Scenario comparison is especially important in pre-fixture planning, where the strongest decision is often not the mathematically cheapest option, but the option that remains commercially robust under changing assumptions.

Marine Solver evaluates decisions in context. A vessel’s current open position, ballast leg, future availability and next employment potential can be considered as part of the optimization logic.

In fleet coverage planning, this also supports repositioning analysis: when some cargoes remain uncovered, the system can help identify where and when vessels would need to become available in order to cover the remaining program.

Marine Solver includes automatic detection of key voyage elements such as EU-related exposure, SECA/ECA areas and major canals including Suez, Panama, Kiel and Turkish Straits. These elements are included directly in the commercial calculation instead of being treated as external afterthoughts.

The platform supports differentiated fuel assumptions for SECA and non-SECA segments, canal expenses, port-related costs and EU ETS-related cost modeling. This allows users to evaluate voyage economics under realistic regulatory and operational assumptions.

Environmental performance is integrated into the same decision framework as commercial performance. Marine Solver calculates voyage or voyage-chain emissions and supports optimization under emissions-related objectives.

The platform can also calculate IMO CII (AER), compare performance against the Required CII baseline, and use environmental targets as constraints when evaluating feasible scenarios. This helps users understand the commercial cost of compliance before decisions are fixed.

Different commercial situations require different priorities. Marine Solver supports optimization by several objectives, including minimum cost, maximum profit, minimum non-productive time and minimum emissions.

The same fleet and cargo set may produce different optimal strategies depending on the objective. This allows users to test how decisions change when the priority shifts from pure cost reduction to profitability, time exposure, environmental impact or fleet utilization.

Optimization results are presented as structured decision outputs rather than raw calculations. Users can review vessel assignments, cargo allocation, voyage chains, timing, cost components, emissions indicators and scenario comparisons.

Marine Solver is designed to support both analytical review and commercial communication. Results can be used internally for planning discussions, management comparison, client-facing explanations or further operational evaluation.