Landis+Gyr strengthened its commitment to resource efficiency with the launch of the new-generation E650 S3 industrial meter. Compared to its predecessor, the E650 S2, the product achieved a 41% reduction in material use and a 49% reduction in energy self-consumption. These improvements were driven by a simplified single-variant design, higher integration of electromechanical components and optimized PCB architecture, resulting in a more compact product, lower material costs and reduced power demand. This innovation demonstrates how smart engineering can minimize environmental impact while improving manufacturing efficiency and cost performance.

At our Curitiba site, Landis+Gyr reduced waste and improved operational efficiency by introducing automated palletizing, platform lifts and more sustainable packaging solutions. By replacing wooden pallet corners with recyclable cardboard and optimizing stretch film use, the site achieved a 30% reduction in waste weight, increased recycling rates and improved workplace ergonomics. The initiative was recognized with the SESI ODS Seal for its contribution to Sustainable Development Goal 12.

Landis+Gyr enhances materials efficiency by optimizing product design and manufacturing processes to reduce raw material use without compromising quality or performance. This includes lighter designs, alternative high-strength materials and products designed for easier disassembly and reuse at end of life. These efforts are illustrated by the new-generation Magno cabinet meter, which achieves a significant reduction in material use compared to the previous SGP+M3 model, supporting lower environmental impact and more sustainable product development.

Landis+Gyr built a model to measure how much carbon its smart meters actually help avoid by comparing energy use before and after deployment, using real consumption data, grid emission factors and rollout volumes across countries. By FY2024, that work shows smart metering has helped avoid about 9 million tonnes of CO₂e, proving that better energy data changes behavior and cuts emissions at scale.