The startup operates a maritime intelligence platform that utilizes machine learning and artificial intelligence to provide real-time vessel tracking, carrier reliability analytics, and transit time forecasting. This technology enables shipping organizations to optimize operations, reduce costs, and enhance decision-making in a complex logistics environment.
Funding
$560K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The maritime industry faces challenges in optimizing operations and making informed decisions due to a lack of real-time visibility into vessel tracking, schedule reliability, and transit time predictability. Inefficient planning leads to increased costs, delays, and suboptimal asset utilization across the supply chain.
Solution
eeSea provides a maritime intelligence platform that delivers real-time vessel tracking, carrier reliability analytics, and transit time forecasting, enabling stakeholders to measure, predict, and proactively act on vessel delays. The platform aggregates data from multiple sources, employing machine learning and AI to offer unbiased insights into vessel schedules, port coverage, and service performance. By providing a single source of truth for maritime data, eeSea empowers ports, carriers, and cargo owners to optimize berth planning, benchmark performance, and enhance supply chain visibility. The platform's features include a blank sailings tracker, trade capacity index, and the ability to analyze liner networks and transit times, all accessible through a web application, API, and data integrations.
Target Audience
The primary target audience includes port authorities, terminal operators, ocean carriers, and cargo owners seeking to optimize operations, improve supply chain visibility, and make data-driven decisions.
Features
- Real-time vessel tracking and forecasting using a proprietary algorithm
- Schedule reliability analysis with unbiased arrival and departure data
- Transit time database offering an overview of competitive positioning
- Liner network mapping, including terminals, berth windows, and leg speeds
- Trade lane capacity monitoring and blank sailing tracking
- Port coverage analysis, including throughput and capacity numbers
- API integration for feeding data directly into customer portals and terminal operating systems
- Customizable reports and dashboards for data-driven decision-making
- Standardized service schedules, voyage codes, and vessel identification
- Emission Index (coming soon) to ascertain emissions per container transported