Case Study: Salling Group achieves millions in energy savings with Ento AI

Salling Group reduces energy consumption by more than EUR 2 million

Salling Group, a major retail company, faced the challenge of immediately reducing its high energy consumption and costs across its vast network of supermarkets without making large upfront investments. To address this, they turned to the vendor Ento and its AI-driven energy optimization platform.

Ento's solution utilized existing energy consumption data and artificial intelligence to quickly identify and rank energy-saving opportunities without requiring new hardware. The implementation led to verified savings of several million euros within just a few months by optimizing building operations, reducing energy waste without affecting store comfort.

Salling Group

Martin Kortegaard

Energy Manager