Higg has released new benchmarks for social and labor performance in consumer goods manufacturing. The sustainability insights platform is the first to offer full performance measurement for manufacturing facilities in the areas of carbon, water, waste and now labor conditions. Most ESG solutions to date only provide benchmarks for specific environmental factors.

Higg users can compare environmental and social impacts within their own value chain and against industry peers. This gives companies a new perspective on their own performance and enables them to make strategic decisions to achieve their sustainability goals.

“To create better conditions for workers in the fashion industry, businesses need data they can trust and Higg is helping make this possible by providing industry access to the SLCP’s Converged Assessment Framework (CAF). The CAF is a widely accepted tool designed to reduce audit fatigue and increase facility ownership of their social and labor data,” said Janet Mensink, executive director of the Social & Labor Convergence Program (SLCP). “By offering additional benchmarking services, Higg will help users see how their efforts compare against others and will spotlight opportunities for improvement.”

Higg users can now identify areas of poor performance and develop improvement plans thanks to comprehensive data from their facilities. Once changes are made, progress can also be tracked. In addition, manufacturing sites can be filtered based on attributes such as industry or country to help brands comply with country-specific labor requirements.

The market continues to pressure the consumer goods industry to improve transparency. Global sustainable investments surpassed $35 trillion in 2020, a 15 percent increase over the past two years, and investors are demanding data-driven ESG commitments before funding. This update helps the consumer goods industry meet market expectations by linking social impact to environmental metrics to provide a more comprehensive view of performance across the value chain.