What We Offer
Experience the remarkable impact of Retragreen AI! In just one week after deploying our cutting-edge solution on July 25th, we achieved extraordinary results. Through the optimisation of Cold Rooms 1 and 2, we surpassed all expectations, setting a new sustainability standard with an impressive 4.7% reduction in energy usage.
But that's not all! On August 30th, we initiated the second round of analysis, and the results were truly outstanding. We assisted AUFS in saving an incredible 11.56% on their electricity expenses. Our commitment to sustainability knows no bounds, and we're ready to transform your energy efficiency.
Join us on this green journey!
Why Choose Retragreen
various types of sensors
Sensors are used to measure temperature, humidity, and other environmental factors in the cold room. These sensors send data to the AI system for analysis and decision-making.
Machine learning software
Machine learning software is used to analyze the data from sensors and make decisions about how to optimize energy consumption in the cold room.
Data storage and processing equipment
To process large amounts of data from sensors, AI energy control systems require robust data storage and processing equipment, such as servers or cloud-based computing.
Control systems are used to adjust the temperature, humidity, and other environmental factors in the cold room based on the decisions made by the AI system.
Australia's 2030 Emissions Reduction Target is to reduce greenhouse gas emissions by 26-28% below 2005 levels by 2030.
The target was set by the Australian Government as part of its commitment to the Paris Agreement on climate change.
Australia's previous climate change commitment was to reduce emissions by 5% below 2000 levels by 2020.
The Safeguard Mechanism sets limits on emissions from large industrial facilities.
Taking action on climate change is important, and Australia has a role to play in global efforts to reduce greenhouse gas emissions.