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Opti-Tanker

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About

Opti-Tanker is an industrial-grade vessel scheduling and fleet optimization platform designed specifically for the maritime oil and tanker sector. Developed by Solverminds SEDGE, the tool addresses the complex logistical challenge of matching oil deliveries from loading points to various demand locations. It aims to maximize the utilization of both owned and chartered vessels—including time and spot charters—while simultaneously minimizing operational costs through intelligent scheduling. By processing over 50,000 variables, the system replaces manual planning processes that often struggle to identify the most profitable configurations in a volatile global market. The software operates by analyzing a wide array of constraints across the loading side, discharge side, and vessel operations. It factors in annual contract limits, production shortfalls at load sites, and specific cargo grade requirements. On the scheduling side, it generates precise timelines including lay-can dates, arrival nominations for jetties, and specific berthing windows. The optimization engine is built to handle complex operational scenarios such as ship-to-ship transfers and port congestion. It ensures that safety stock levels are maintained at discharge locations while optimizing the use of terminal and jetty infrastructure to avoid bottlenecks and idle time. This tool is primarily intended for fleet managers, maritime planners, and logistics coordinators within the energy and shipping industries. It is particularly valuable for companies managing large fleets of tanker vessels that face extreme competition, soaring fuel prices, and supply-demand imbalances. Organizations that rely on a mix of owned assets and spot-chartered vessels will find the automated decision-support helpful for determining the most cost-effective vessel type and size for specific routes. It serves as a strategic layer for businesses looking to maintain a high return on investment (ROI) amidst economic instability and shifting trade patterns. What differentiates Opti-Tanker from general logistics software is its specialized focus on the physical and contractual nuances of the oil industry. It combines years of domain expertise in maritime logistics with modern AI and machine learning algorithms. While many fleet management tools focus on GPS tracking or maintenance logs, Opti-Tanker prioritizes the mathematical optimization of the entire supply chain from load jetty to discharge port. Its ability to handle tens of thousands of variables allows it to identify efficiencies that are humanly impossible to calculate, providing a quantifiable edge in an industry where fuel costs and vessel time are the primary drivers of profit.

Pros & Cons

Processes over 50,000 variables to find the most profitable scheduling solutions.

Specifically tailored for the complexities of the tanker and oil delivery industries.

Supports both time-chartered and spot-chartered vessel optimization.

Prevents stockouts by ensuring discharge ports remain above safety stock levels.

Developed by a team with specialized maritime AI and machine learning expertise.

High technical complexity may require significant initial setup and data integration.

Specifically designed for tankers and bulk, making it less suitable for containerized cargo.

No transparent self-service pricing available on the website.

Use Cases

Fleet planners can automate the scheduling of tanker vessels to match volatile oil demand while maintaining safety stocks at discharge ports.

Logistics managers can optimize jetty and terminal usage to reduce congestion and wait times at loading sites.

Chartering departments can use AI to decide whether to use owned vessels or spot-charter based on cost-efficiency and constraints.

Supply chain analysts can simulate production shortfalls at load sites to identify alternative loading locations and maintain delivery contracts.

Energy companies can minimize fuel consumption and operational costs by optimizing vessel routes and arrival nominations.

Platform
Web
Task
vessel scheduling

Features

lay-can and arrival date nominations

automated vessel type and size matching

ship-to-ship transfer options

jetty and terminal infrastructure optimization

multi-grade cargo tracking

port and vessel constraint management

cargo demand satisfaction modeling

ai-driven vessel scheduling

FAQs

How does Opti-Tanker handle cargo grade requirements?

The system factors in supply-side annual constraints for both quantity and specific cargo grades. It ensures that the right vessel is matched with the appropriate grade and delivered to ports according to forecasted demand.

Can the software manage both owned and chartered vessels?

Yes, Opti-Tanker is designed to maximize the utilization of time-chartered, spot-chartered, and owned vessels. It identifies the optimal number, type, and size of vessels needed to meet demand while minimizing costs.

Does the tool account for port congestion?

The optimization process includes berthing window constraints and jetty infrastructure limits at discharge ports. By creating smarter schedules, it helps planners avoid congestion and minimize idle time.

How does the AI improve upon manual planning?

Manual planning is limited by the human capacity to track thousands of moving parts. Opti-Tanker's algorithms process over 50,000 variables simultaneously to find the most profitable configuration of vessels and cargo.

Is there support for ship-to-ship transfers?

Yes, the software includes a specific option to choose ship-to-ship transfers as part of the logistics chain. This allows for greater flexibility in delivery routes and port accessibility.

Pricing Plans

Enterprise
Unknown Price

Tanker Optimizer access

Bulk Optimizer access

Vessel and scheduling optimization

Multi-grade cargo management

Port and jetty constraint modeling

Ship-to-ship transfer options

Annual contract limit tracking

Custom AI/ML model integration

Strategic consulting services

Regional support across 5 global hubs

Job Opportunities

There are currently no job postings for this AI tool.

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