Artificial intelligence is redefining the way we manage global logistics. It predicts delays, flags ineffi ciencies, and helps optimise routes in real time. However, despite the value it creates, AI also comes with a growing environmental cost, one that’s rarely acknowledged or measured.
At Greensee, we designed our AI diff erently. We wanted to build intelligence that helps reduce emissions without becoming a new source of them. That principle guided every layer of our architecture, from model size to deployment infrastructure.
In January 2024, that approach was validated by the Solar Impulse Foundation. Greensee was awarded its Efficient Solution Label, recognising our platform as both environmentally and economically sustainable. As part of the certification, a full life cycle assessment was conducted comparing Greensee to a typical logistics analytics stack. The result was clear: Greensee’s solution produces 71 percent less environmental impact.
This was not an estimate. It was a benchmark reviewed independently and based on verified methodology. The findings confirmed that it’s possible to run industrial-grade logistics AI without the environmental weight usually associated with artificial intelligence.
How AI Quietly Consumes Energy
Mainstream AI systems are often built on large models that process vast amounts of data across multiple servers. Training just one language model like GPT-3, for example, can use more than 1,200 megawatt-hours of electricity. That’s roughly equivalent to the yearly consumption of 100 homes. Even a single AI prompt can emit several grams of CO₂.
The energy use doesn’t stop at training. Every time these models are queried, the inference load adds up, especially when applied to real-time or high-frequency use cases.
Greensee avoids this by using purpose-built AI models that are optimised for emissions tracking, predictive maintenance, and anomaly detection in cold chain and intermodal logistics. These models are smaller, more effi cient, and run only what is necessary. As a result, our platform operates with a verified emissions footprint of less than 0.1 grams of CO₂ per container per year, as confirmed by the Solar Impulse Foundation.
The 71% Advantage
The Solar Impulse Foundation evaluated Greensee’s solution against a conventional industry alternative using a life cycle assessment approach. The analysis looked at the production, distribution, use, and disposal phases.
For Greensee, only the distribution phase showed measurable impact. The conventional system had more than three times the environmental load, driven mainly by heavier infrastructure, broader system demands, and more frequent compute operations.
Greensee scored 39.73 impact points. The benchmark system scored 137.48. That 71.1 percent reduction was verified through an independent review process, making it one of the strongest clean technology performances in our category.
RISE: Smart, Clean Intelligence for Cold Chain
Greensee’s core platform, RISE, powers real-time intelligence for refrigerated containers, port movements, and inland logistics hubs. It connects data from onboard IoT devices to an analytics layer that tracks temperature stability, energy events, route deviations, and estimated emissions.
RISE works quietly in the background to surface insights without unnecessary compute loads. It flags anomalies before they cause spoilage, identifies when containers go idle, and provides emissions estimates per leg based on actual transport mode and timing.
The impact isn’t just in effi ciency. It’s in avoided emissions.
By helping customers reduce energy waste, avoid spoiled cargo, and reroute in real time, Greensee can help enable emissions savings of up to one tonne of CO₂ per container. This figure is a modelled estimate, based on real operational data and typical improvements seen across the cold chain and intermodal flows.
You can read more about how RISE and our AI agent function in this deep-dive article:
From Data to Insight: How Greensee’s AI Agent Powers CO₂ Intelligence and Predictive Maintenance
Certified, Not Just Claimed
Greensee’s technology has been officially recognised by both the Solar Impulse Foundation and the Smart Freight Centre for its emissions-tracking methodology. You can also find us on the Smart Freight Centre’s certified partner list.
We also collaborate with the European Space Agency to improve visibility and accuracy across all legs of the journey, from port to rail to road.
This isn’t just about building tools. It’s about building trust through third-party certification, transparent reporting, and a commitment to reducing emissions at every level of the supply chain.
Ready to See It in Action?
Greensee helps you reduce Scope 3 emissions, digitise your cold chain, and automate CO₂ tracking without adding to your carbon load.
If your organisation is exploring sustainable AI for logistics, we invite you to learn more.
Get in touch to book a live demo or explore a pilot project.
Greensee builds intelligence that delivers, and we make sure it doesn’t cost the Earth.