OptiFleet assigns every vessel to the voyage that earns the most.
Liner scheduling has more moving pieces than any human can hold in their head. OptiFleet weighs every variable in your network — cargo mix, vessel costs, port rotations, forecasted demand — and returns the single most profitable deployment. Vessel utilization goes up. Revenue per voyage goes up. Bunker savings come along as a subset of the same answer.
The difference
Single-dimension optimizers leave money on the table — the right cargo on the wrong vessel, the right vessel on the wrong rotation. OptiFleet resolves all seven dimensions in a unified model so every decision flows through the same math.
What this means for your P&L
Right cargo mix on the right vessel on the right voyage. Every slot allocated to the cargo that contributes most — by container type, weight, and freight rate.
Cargo allocation, port-pair assignment and deployment planned together. Idle slots become incremental margin, not rounding error.
Port congestion, strikes, breakdowns. OptiFleet rebuilds your deployment before your team finishes their first call.
The cost optimization falls out of the cargo and route decision — eco-speed routing, hull and propeller cleaning, and route-network planning all factored in alongside revenue.
Six months in · One real case
A medium-sized regional shipping line operating across Southeast Asia, the Middle East and Africa deployed OptiFleet. Six months in, ROI was under one year. Below: the verified deltas, anonymized at the customer's request.
What once took days of planning now happens in minutes, and we consistently find better solutions than our previous best practices. Most importantly, we can now make truly integrated decisions across commercial and operational dimensions.
Why this exists
OptiFleet is built around the five structural challenges shaping container shipping in this cycle.
Many vessels sail with empty slots. Inefficient cargo allocation leaves margin on the dock — every voyage.
Fuel prices and freight rates swing faster than spreadsheets update. Per-slot economics erode silently.
Suboptimal deployment compounds with port congestion. Service reliability suffers; customer trust follows.
Global emissions policies demand optimized scheduling and bunker procurement, not heroic last-minute speed cuts.
Different regions, ever-changing rules, manual documentation. Compliance gaps become operational risk.
One published case · Fleet & Network white paper
0
Variables in the optimization problem for a real liner — 60 ships, 1,500 port pairs, 10 commodities, 6 equipment types — per Solverminds' published Fleet & Network Optimization paper. Your fleet scales it up or down accordingly. Manual planning can hold a few dozen variables in mind. OptiFleet solves the full case in seconds.
1,500
Port pairs
Origin → destination combos
60
Ships
500–4,000 TEU vessels
10
Commodity types
Per-shipment cargo class
6
Equipment types
20DC, 40DC, 40HC, RF, OT, FR
Daily
Demand swings
Per-port fluctuating volume
Multi
Discharge ports
Per-voyage discharge mix
Varying
Depth restrictions
Draft & berth limits
Global
Equipment moves
Surplus / deficit balance
Disruption planning
When ports congest, vessels can sit for 10–15 days. OptiFleet redirects the rotation around the bottleneck — your vessel keeps earning, your customers keep their cargo flow.
Days recovered
4
Per disrupted port call · illustrative scenario. Per the TANKER white paper, "the majority of cost saving accrues from rescheduling vessels after disruption" — the same applies on the container side.
Without OptiFleet — port congestion
With OptiFleet — re-routed
What's inside
Every variable. Every voyage.
Port rotations, vessel speeds, terminal productivity, port stay, sea time, service frequency — all weighted before a schedule is generated.
Hire, ports, canals, fuel — per leg.
Every cost line on every leg: charter hire, port and canal costs, insurance, maintenance, and max-speed vs eco-speed fuel. Bunker savings fall out of the same model — not the headline objective.
Highest revenue per ton-mile.
Identifies optimal port-pair allocation by container type, weight, and freight contribution. Selects the most affordable vessel for the strongest revenue.
Math + machine learning.
Mixed Integer Linear Programming solves the constraint problem; ML drives time-series demand forecasts for every port pair. Your plan reflects tomorrow's market, not yesterday's.
ESG built into the plan.
Carbon Intensity Indicator (g/t-nm) computed per voyage and per port leg. Regulatory benchmarks live inside the optimization, not bolted on after.
VSAs, JVs, slot swaps modeled.
Ownership ratios, slot contributions, per-category cost splits — charter, fuel, port, canal, vessel OC. Transparent, fair, finally profitable for both parties.
Rebuild schedules in seconds.
Port congestion, strikes, vessel breakdowns — OptiFleet generates a revised, data-backed schedule in seconds instead of days.
Empties planned where it matters.
Empty container repositioning is OptiBox's territory — OptiFleet shares deployment context with it so commercial and empty plans align.
No migration. No swap-out.
Connects to existing client applications via API services. Results displayed graphically — financial, commercial, and operational plans at a glance.
The 5-step approach
01
Plan
Pro forma schedule submitted to OptiFleet for optimization.
02
Connect
Cloud-based platform ingests via API services — no migration.
03
Analyze
Bin-Packing + Network Flow models run across every variable.
04
Optimize
Multi-objective profit maximization — cargo, capacity, revenue.
05
Apply
Approved schedule applied to live production. Repeats daily.
What lands on your desk
Output 01
Output 02
Output 03
Output 04
What it does in practice
Each one corresponds to a screen in the platform — the things planners actually do, every day, on OptiFleet.
Use case 01 · Vessel comparison
Run side-by-side simulations of vessels on the same service. Charter hire, fuel at sea and port, canals, ports, slot costs — every line item compared. The winner isn't always the bigger ship.
Smaller ship, lower charter+fuel, higher profit — the call spreadsheets miss.
Use case 02 · Port-level utilization
Granular visibility into TEU fill, weight, high-cube and reefer utilization at every port across the rotation. Spots unused capacity — and where to sell it.
Verified table from a real OptiFleet rotation · TEU/WT/HC fill rates per port.
Use case 03 · Slot sharing
VSA partners. Ownership ratios. Different cost splits per category. OptiFleet models the whole arrangement — transparent, fair, and finally profitable for both parties.
Use case 04 · Carbon intelligence
Carbon Intensity Indicator (g/t-nm) computed per voyage and per port leg. ESG goals and regulatory benchmarks built into the planning loop — not bolted on after.
Voyage CII
10.56
g/t-nm
Use case 05 · Feeder optimization
Slot sales, slot purchases, joint ventures, slot swaps — third-party bookings integrated with own-vessel planning. Commercial flexibility without losing operational rigor.
The P&L report
Commercial teams assess costs, optimize revenue and refine operations using historical and forecasted data. The P&L report folds every cost line into a single liner-contribution number.
Earnings from freight, surcharges and demurrage.
Load / discharge handling, transshipment, agency fees.
Container maintenance, equipment repositioning expenses.
Charter hire, port, canal and fuel.
Internal and external slot allocation expenses.
Liner contribution and final trade result.
Real service · CSA — China · Singapore · Jebel Ali
Nine ports, 42 days, 11,092 nautical miles — the full rotation generated, scheduled and cost-modelled in a single run. Diagram shows the outbound leg, with port spacing proportional to actual nautical miles between calls.
42
Voyage days
11,092 nmi
Distance
15.43 kt
Avg speed
30.02 D
Sea time
10.00 D
Port stay
2.00 D
Manoeuvering
90+
Countries
Leading shipping lines running OptiFleet across global trade lanes.
20+
Years experience
Maritime domain expertise behind OptiFleet — per the white paper.
<1 yr
Time to ROI
Payback period in the verified Southeast Asia / Middle East / Africa case study.
7
Dimensions optimized
Service · Ports · Cargo · Vessel · Container type · Routing · Emissions.
Pick your next step
Three ways to start — pick the one that fits where you are.
Just looking
Concise overview of OptiFleet — what it does, what it needs, where it fits. No call, no commitment.
Request brief →Evaluating
Custom 30-min session with your real port rotations and vessel mix. Watch the rebuild happen live.
Schedule session →Ready to deploy
45 minutes with an optimization specialist. Integration plan, timeline, and ROI projection.
Book a call →