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Measuring environmental impact: A systems approach to carbon footprint assessment in complex value chains

Understanding and managing environmental impact across intricate value chains has become a strategic priority for organizations aiming to meet global sustainability benchmarks.

From metrics to systems: A holistic approach to environmental impact

At Schneider Electric, our view is that businesses need to move beyond isolated metrics and adopt a systems-level approach to measure and improve their environmental impact. Environmental consideration is no longer confined to operational boundaries; it extends across upstream suppliers and downstream users. As some value chains are reshoring and trade restrictions increase across the world, there is still demand for global assessment of environmental footprints. Precisely identifying environmental responsibilities remains essential for driving meaningful progress.


The complexity of modern supply networks necessitates a shift in how we perceive and allocate environmental responsibilities. Traditional models often compartmentalize impact within individual operational silos, overlooking the interdependencies between various actors. However, a systems approach provides a more cohesive understanding by incorporating data from every node in the network.


At Schneider Electric, we deploy advanced data analytics and modelling tools to track emissions, resource consumption, and waste production across the full lifecycle of all our offerings. This comprehensive mapping enables us to attribute environmental impact across the multiple layers of our value chain, ensuring that no emission or inefficiency goes unnoticed.

Explore why traditional sustainability metrics may fall short and how Schneider Electric helps businesses measure their true environmental impact.

To manage this complexity, digital infrastructure plays a pivotal role. It enables organizations to monitor, verify, and benchmark performance using consistent metrics. We employ such systems to integrate environmental impact data across our internal operations and those of our suppliers, creating a unified ecosystem of management.


By leveraging IoT-enabled equipment and AI-based analytics, companies can go beyond estimation. We incorporate measured energy consumption, material lifecycle data, and emission footprints to generate granular insights that allow for targeted action.

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