The challenge

Organisations worldwide lack visibility, control and intelligence in managing energy across complex, distributed operations. Energy-intensive assets such as HVAC systems, refrigeration units and industrial equipment often operate inefficiently because of fragmented data, reactive maintenance practices and inconsistent operating standards.

The result is unnecessary energy consumption, higher emissions and rising operational costs.

The solution

Clever Energy integrates cloud analytics, machine learning and digital twins to provide a unified, enterprise-wide view of energy consumption and asset performance, in real time. This allows organisations to identify inefficiencies, optimise usage and track progress against sustainability targets.

The platform is designed to accelerate decarbonisation without major capital investment. By using existing infrastructure and integrating with building management systems and IoT devices, it maximises the value of legacy assets. It also provides reliable, verifiable data to support decision-making, reporting and compliance, aligning leadership, operations, finance and sustainability teams and positioning sustainability as a strategic lever for growth rather than a regulatory obligation.

How the project works

At the core of the platform are Energy Digital Twins: dynamic, physics-based models enhanced by machine learning that simulate asset behaviour, predict inefficiencies and recommend corrective actions in real time. The platform draws on data from building management systems, IoT sensors, weather data and operational inputs, and this interoperability allows it to be deployed across varied environments without extensive system upgrades.

A centralised command centre combines AI-driven insights with human expertise, with energy specialists and data scientists continuously monitoring performance, validating recommendations and guiding implementation. The cloud-based architecture allows rapid scaling across thousands of sites, and the platform learns over time, so optimisation becomes more precise with continued use.

Clever Energy also uses an outcome-based commercial model, in which fees can be linked to verified energy savings – reducing financial risk for clients and reinforcing accountability for measurable results.

The results

Organisations using the platform typically achieve energy intensity reductions of 8-12%, supporting progress towards science-based targets and net-zero commitments.

Global convenience retailer Circle K used Clever Energy to optimise energy use across its store network, achieving energy cost savings of $7.3m, a 3% normalised energy reduction and the avoidance of 17,646 tonnes of CO2e – while maintaining operational continuity.

Beyond financial and environmental benefits, predictive maintenance and optimised operation improve asset performance and lifespan, reducing unplanned downtime and minimising waste from inefficient equipment use. The platform also drives cultural change by increasing energy awareness and enabling data-driven decision-making, with standardised processes and real-time insights improving governance and consistency across large portfolios.