In modern logistics, having access to data is no longer enough. The true advantage lies in understanding that data in real time, drawing connections between events, and acting with confidence. Greensee’s emissions intelligence platform is designed to do exactly that. It uses live telemetry from connected assets to provide accurate CO₂ tracking, predictive maintenance insights, and complete visibility across transport modes.
The demonstration video below features anonymised data from real-world shipments. It highlights how the system works across sea, road, rail, and inland waterways, providing not just operational tracking but strategic intelligence.
Watch the full demo
Greensee Dashboard Video (YouTube)
Greensee’s AI agent sits at the core of this platform. Built using supervised machine learning, it processes high-frequency sensor data to maintain a digital twin of each monitored asset. These twins allow the system to detect irregularities, forecast potential failures, and continuously adapt to real-world conditions. Whether the asset is powered by a diesel generator or connected to shore power, the AI agent interprets patterns in energy use, temperature variation, and operational flow to deliver targeted, context-rich insights.
Every shipment is broken down into transport legs using detailed geospatial mapping and event detection. Greensee calculates CO₂ and CO₂e emissions for each segment in full compliance with GLEC Framework V3.1 and ISO 14083. It also estimates financial exposure under the EU Emissions Trading System, linking operational performance to regulatory costs.
This ability to pair emissions and cost with real-time operational data brings a new level of clarity to carbon reporting. For example, if a shipment sits idle for several hours in a logistics hub, the platform not only records the delay but quantifies the additional emissions and fuel consumption during that period. The AI agent links these outcomes to the specific mode of transport, fuel source, and generator runtime, offering a clear view of what happened and why.
Beyond carbon reporting, Greensee adds another layer of value through predictive maintenance. By tracking trends in voltage behaviour, phase imbalance, cooling efficiency, or ambient stress, the system can flag early signs of equipment degradation. An operator can investigate a single temperature deviation or assess repeated energy spikes across a region. This enables preemptive service scheduling, reduced downtime, and improved asset reliability.
At the fleet level, the platform helps users move from isolated incidents to pattern recognition. Energy consumption across hundreds of assets, emissions by region, and deviations from planned routing are all tracked and compared over time. With flexible dashboards, clients can focus on the metrics that matter most to their business—whether that’s fuel efficiency, Scope 3 carbon impact, or energy usage per shipment.
All location intelligence is made possible through Greensee’s geofencing engine, GEOCE. Developed in collaboration with the European Space Agency, GEOCE maps real-time entry and exit events across terminals, ports, yards, and transport corridors. This precise zone detection allows the platform to accurately segment journeys, analyze dwell time, and match movement with emissions profiles.
The combination of AI-driven learning, digital twins, and high-resolution geofencing allows Greensee to deliver answers, not just data. It can identify where operational inefficiencies occur, how they compound over time, and what financial or environmental consequences they carry.
The dashboard is also customisable. For temperature-sensitive cargo, users may prioritise ambient thresholds and generator activity. For terminals, the focus may shift to vessel turnaround time and anchor-to-berth emissions. Greensee’s flexible architecture supports tailored use cases, integrating easily into existing workflows.
Whether your goal is regulatory compliance, emissions reduction, or equipment reliability, Greensee provides the insight needed to act decisively. Its AI agent transforms disconnected signals into clear, operational intelligence that scales from asset-level diagnostics to fleet-wide strategy.
To explore how Greensee can support your sustainability and performance goals, contact contact@greensee.ai for a custom demonstration.