David Arsenault
Chief Commercial Officer
Introduction: Operating a complex maritime shipping fleet is a global challenge
Optimizing maritime shipping is no longer about plotting the “shortest route” on a chart; it’s about navigating the high-stakes convergence of geopolitical volatility, decarbonization regulations, tariffs, and volatility in chokepoints like the Panama Canal, Suez Canal, and the Strait of Hormuz. This has forced a rethink of operating practices that has paved the way for augmenting key maritime shipping functions with artificial intelligence (AI). In this fast-changing landscape of rising costs, strained supply chains, and uncertain shipping routes—and given that over 80% of the world’s trade volume is carried by sea—optimization requires a shift from reactive logistics to predictive intelligence.
Maritime routes are being redrawn by political instability rather than just seasonal demand. Optimization requires multi-scenario route planning where ship deployments are continuously adjusted based on these ever-changing geopolitical factors, tariffs that impact customer sourcing strategies, terminal availability, imbalanced trades, or conflict escalations. Paradoxically, even good news like the reopening of major canals can cause chaos due to vessel bunching that creates logistical logjams at ports, overwhelming infrastructure, and causing delivery delays. A solution is needed, one that understands all the moving parts of your internal shipping operation and can still manage rapidly evolving external factors like politics, weather, and customer demands.
AI-powered autonomy drives shipping industry performance
AI contributes to shipping performance optimization in several important ways.
Fleet Optimization
There are many variables and constraints that must be incorporated into optimizing a fleet of vessels including port restrictions, cargo demands, transit times and fuel costs since fuel is the largest operating expense, often exceeding 50% of the total voyage cost.
- Fleet Deployments: AI platforms that can analyze cargo demand forecasts, optimal vessel characteristics that meet demand, live vessel location data, real-time satellite weather, port constraints, congestion and emerging geo-political events to optimize routing, limit risk, improve vessel utilization, and reduce costs.
- Virtual Port Arrival: To save fuel costs, reduce emissions, and minimize port congestion, AI-enabled vessel routing coordinates vessel ETAs with destination port terminals in order to optimize a ship’s route and speed mid-voyage to arrive when the berth window is available, minimizing cost and idle time at anchorage.
Predictive/Prescriptive Maintenance
Technical/system failure is a leading cause of maritime incidents, with machinery failure accounting for nearly 50% of accidents.
- Sensor Data: AI platforms ingest mechanical sensor data to monitor technical performance, predict failures, and prescribe mitigating actions days or weeks in advance.
- Maintenance Planning: Reduce unscheduled downtime and related costs by using AI enabled “condition-based” predictive maintenance to schedule repairs, allowing vessel operators to realize 10–25% reduction in operating expenses.
Avathon’s Autonomy Platform, developed in collaboration with a global oil and gas supermajor, has optimized the movement of billions of barrels of petroleum shipments across thousands of voyages.
The Benefits: Safe, reliable, economical shipping
Avathon Autonomy unifies maritime fleet planning, management, optimization, and shipment scheduling data on a single platform, determining how to route cargo in a way that minimizes cost, optimizes fleet utilization, and maximizes business value. It continuously computes dynamic criteria like vessel locations (planned vs. actual), terminal and port statuses and congestion levels, bunkering locations, real-time product cost and quality requirements, time and spot-chartering costs, weather events, terms, business rules, and more.
Avathon’s Autonomy Platform is built on computational knowledge graph (CKG) technology that unifies fleet planning, scheduling, routing, and external rules and risk factors.
- Integrates diverse enterprise system data sources for cargo, shipments, assets, weather, risks, constraints, and business rules across logistics operations.
- Automates planning and optimization of fleet schedules and asset utilization as the planning system of record.
- Develops rapid “what if” scenarios to evaluate trade-offs and risk-based resilience strategies using a “digital twin.” The preferred scenario can then be seamlessly reviewed, approved, and even automated.
- Incorporates historic performance and real-time conditions to enable proactive diagnostics and prescriptive actions to autonomously manage exceptions and disruptions.
- Drives dynamic optimization with reinforcement learning instead of traditional static operations research techniques.
Conclusion: AI transforms maritime shipping data into actionable insights
The world depends on a safe and reliable network of ships to transport cargo of all types to support complex, global multi-modal supply chains. Avathon’s solution is the first and only of its kind in the market today and has already optimized thousands of voyages, improving network planning and saving millions of dollars in fuel and operating costs. Avathon Autonomy dynamically evaluates demand planning, available capacity, vessel schedules, fuel and maintenance costs, weather, labor disputes, and trade volatility. By aligning these real-time variables with operational rules and asset data, Avathon equips vessel operators with the insights they need to optimize fleet performance.
Maritime operators and managers already collect terabytes of data from their fleets, but without a comprehensive cognitive analytics platform in place to effectively utilize that data, they waste the opportunity to extract actionable insights that can increase profits and improve operating efficiency. The solution has been proven to unlock significant time and cost savings, planning deployments while increasing efficiency and revenue through improved fleet utilization.
Avathon’s Autonomy for Shipping Platform turns maritime operating data into actionable insights, alerting operators to suboptimal conditions before damage occurs to equipment, averting costly repairs and downtime, and transforming planning and execution. The world depends on a safe and reliable network of ships transporting cargo of all types across a complex global supply chain network. Autonomy ensures that vessel operators deliver the goods.
To learn more about Avathon’s Autonomy Platform for the Shipping industry, visit our website.
