Maritime & Ports
From predicting ETAs to demand forecasting and data visualization to identification of patterns, trends, and anomalies, our integrated maritime solutions support decision-making across commercial, regulatory and environmental domains.
As maritime trade grows and supply chains become increasingly complex, ports, terminal operators, shipping companies, and maritime authorities need better ways to understand their operations and make data-driven decisions. Large volumes of operational, vessel, logistics, and environmental data often remain underutilised, limiting visibility into trends, bottlenecks, risks, and opportunities.
At SPACE-SHIP, we help maritime stakeholders transform data into actionable intelligence through advanced analytics, AI, geospatial technologies, and decision-support systems. By integrating client-specific and external datasets, we develop tailored solutions for demand forecasting, performance monitoring, anomaly detection, operational optimisation, data integration, and strategic planning.
$200B+
Annual estimated economic costs due to port congestion and shipping delays across global supply chains.
$15
Can be saved in administrative costs per container through better data integration and automation.
33%
Maritime organisations have progressed to the deployment of AI in their daily operations.
Our team combines 15+ years of expertise in maritime operations, geospatial analytics, AI, data science and software development. With backgrounds spanning shipping, ports, navigation, maritime technology and environmental intelligence, we understand both the operational realities and technical challenges faced by maritime stakeholders.
We have experience working with vessel, port, logistics, environmental, and geospatial datasets at scale, helping organisations transform fragmented information into actionable insights. From data integration and analytics to AI, dashboard development, and decision-support systems, we bring the technical and domain expertise needed to support digital transformation.
We develop tailored maritime intelligence solutions that help organisations better understand their operations, identify trends and anomalies, forecast future demand and make more informed decisions. By combining client-specific and external datasets with advanced analytics, AI and geospatial technologies, we transform fragmented data into actionable insights that support efficiency, resilience, and long-term growth.
ARRIVAL-X ETA Prediction
Our state-of-the-art, automated ETA prediction tool uses fused AIS, EO, and weather data to deliver precise arrival times with over 90% accuracy, supporting Just-in-Time port calls.
Demand Forecasting & Market Intelligence
Improve planning and resource allocation through AI-powered forecasting of cargo volumes, vessel arrivals, bunker demand, and operational activity. We help stakeholders identify trends, anticipate future demand, and support strategic decision-making.
Operational Performance & Benchmarking
Gain deeper visibility into operational performance through KPI monitoring and benchmarking. We help maritime stakeholders identify inefficiencies, monitor throughput, evaluate performance trends and compare operational metrics across terminals, ports, fleets or competitors.
Data Integration, Analytics & Decision Support
Many maritime organisations operate across multiple disconnected systems and data sources. We integrate multiple data sources into a single analytical environment, enabling more effective reporting, dashboarding and decision-making.
Custom Maritime Solutions & Consulting
Not every challenge can be solved with an off-the-shelf product. We work closely with maritime stakeholders to understand their specific requirements and deliver tailored consulting, analytics, AI, data integration, and software solutions. Whether enhancing existing capabilities or developing new ones, we support internal teams with practical, scalable solutions.
AIS (terrestrial & satellite), Port and Terminal Data, ERP and Operational Systems, Copernicus, Artificial Intelligence (AI), Natural Language Processing (NLP), Predictive Analytics, PostGIS, Docker, FastAPI, Dashboards, and Cloud-Native Data Platforms.