Avathon Launches AI Autonomy for Liquid Bulk Logistics, Proven Across Thousands of Voyages
Avathon launches AI for liquid bulk logistics across rail, road, and terminals, proven at a supermajor. Teams see fewer spreadsheets, faster planning, and higher fleet use.

Avathon Launches AI Autonomy for Logistics Planning in Liquid Bulk Operations
Avathon announced Autonomy for Logistics Planning, an AI-driven application built to plan and optimize liquid bulk logistics across rail tank cars, tanker trucks, and storage terminals. The system has been proven in production with a supermajor oil and gas company, delivering faster planning, smoother replanning, and higher fleet utilization.
For operations teams, this means fewer manual spreadsheets, fewer planning fire drills, and more predictable execution. The result: time and cost saved during planning, plus stronger asset turns and revenue impact.
Why it matters
Liquid bulk cargo accounts for a large share of maritime transport and moves across complex, multi-modal networks handling hazardous materials under strict protocols. A safe, reliable flow depends on synchronized planning across assets, schedules, and external risks.
Context: UN Trade and Development highlights the central role of liquid bulk in global shipping volume. See UNCTAD's maritime analysis for background here.
What the application does
- Unifies data: Integrates enterprise sources for cargo, shipments, assets, weather, risks, constraints, and business rules.
- Becomes the planning system of record: Automates schedules and asset utilization while preserving operator oversight.
- Runs rapid scenarios: Tests "what if" trade-offs, compares risk-resilient plans, and promotes the preferred plan to record-manually or automatically.
- Closes the loop: Learns from history and real-time conditions to diagnose issues early and prescribe actions to manage exceptions.
- Optimizes dynamically: Uses reinforcement learning instead of static operations research approaches to adapt to shifting conditions.
Built on Avathon's Autonomy Platform
The solution uses a computational knowledge graph to connect planning, scheduling, routing, asset management, external rules, and operational risk. This creates a consistent operational picture that supports fast decisions, measurable KPIs, and auditable plans.
Adapts to real-world volatility
The application continuously evaluates capacity, availability and compliance, schedules, fuel and maintenance costs, weather, labor disputes, and trade volatility. It aligns these factors with fleet and terminal constraints to keep plans feasible, economical, and resilient.
Proven at scale
In collaboration with a global oil and gas supermajor, the technology has optimized thousands of voyages and billions of liters/barrels of petroleum shipments. The same logistics digital twin and optimization approach now supports fleets carrying hazardous, non-hazardous, edible, and non-edible liquids.
"Our first deployment showed how AI can transform complex operations and improve profitability," said Pervinder Johar, CEO, Avathon. "We are ready to scale this planning solution across liquid bulk shipping fleets worldwide."
Operational outcomes you can expect
- Shorter planning cycles and faster replanning during disruptions.
- Higher fleet utilization and fewer empty or off-plan moves.
- Improved on-time performance with clear, auditable decisions.
- Better safety and compliance through rules-aware automation.
Availability
Avathon Autonomy for Logistics Planning is available now as part of the Avathon Autonomy Platform. Learn more at avathon.com.
Upskill your operations team
If you are building operator capabilities in AI planning and automation, explore practical learning paths for operations roles here.