Amazon is leveraging AI-powered tools to enhance the sustainability and efficiency of its buildings, aligning with its commitment to The Climate Pledge. One such tool, FlowMS, recently detected an underground water leak at an Amazon logistics facility in Glasgow, Scotland, which would have otherwise gone unnoticed. By analyzing metering data, FlowMS identified an anomaly in water usage, leading to the discovery of a faulty valve. Fixing the issue prevented the loss of 9 million gallons of water annually.

FlowMS is part of a broader suite of AI and science-based solutions designed to optimize Amazon’s building operations. Another tool, the Base Building Advanced Monitoring (BBAM) system, monitors HVAC performance across Amazon facilities. It uses AWS machine learning technologies to analyze energy consumption and identify anomalies, such as clogged filters or malfunctioning air conditioning units. At a fulfillment center in New York, FlowMS detected a miscalibrated utility meter, revealing that the building was using far less energy than initially recorded.

Amazon is also applying AI to improve its grocery refrigeration systems. The Advanced Refrigeration Monitoring (ARM) tool continuously monitors refrigeration units to maintain optimal temperatures and predict potential failures. In Spain, ARM detected an abnormal defrost cycle pattern, enabling Amazon’s teams to identify faulty equipment before it led to significant food waste and downtime.

Currently, FlowMS and BBAM are in use at 120 Amazon sites, with plans to expand to over 300 locations by the end of 2025. Similarly, ARM is being used across Amazon’s grocery network in North America and Europe, with plans to roll out to more than 150 sites, including in India.

These AI-driven innovations are key to Amazon’s goal of achieving net-zero carbon emissions by 2040. By integrating AI into its infrastructure, the company is not only improving operational efficiency but also advancing its environmental sustainability initiatives.
AMAZON