Ento
Case Studies
Salling Group's Energy Savings through AI: A Case Study
Overview
Salling Group's Energy Savings through AI: A Case StudyEnto |
Analytics & Modeling - Machine Learning Sensors - Utility Meters | |
Buildings Retail | |
Building Automation & Control Predictive Waste Reduction | |
System Integration | |
Operational Impact
The implementation of Ento's AI platform has allowed Salling Group to make significant energy savings without disrupting building comfort. The AI platform has provided the company with insights into its energy consumption and has suggested ways to save money and reduce CO2 emissions. The platform has also enabled the automatic identification of buildings that are not operating optimally and has provided documentation of energy savings. The use of publicly available data sources has meant that no manual setup was required to get started. As a result, energy managers at Salling Group were able to begin optimising their buildings’ energy consumption the day after they gave access to their consumption data. | |
Quantitative Benefit
Savings of several million Euro within a few months of using Ento's AI platform. | |
Potential reduction of total energy consumption by 5-20% in the first year. | |
Some building owners have saved 20% of total electricity consumption using Ento’s artificial intelligence. | |