Choose the circular laundry services of CWS Workwear and CWS Healthcare to significantly lower your overall environmental impact compared to buying workwear and washing it at home.
The impact reductions are achieved through decreased energy and water use, more efficient detergent dosing per garment, and lower end-of-life emissions and waste.
- Emissions savings: This function quantifies the emissions avoided when using our service instead of washing workwear at home. It considers our existing operational measures including, our energy‑efficient and water-efficient processes, optimized detergent dosing, and responsible end‑of‑life treatment. It also includes the emissions associated with our logistics, ensuring a transparent and balanced “net impact” calculation.
- Consumption savings: This function tracks reductions in energy, water, detergent and textile waste. By comparing household washing patterns with our optimized industrial processes, you can see how much fewer resources are consumed through our service.
- Water savings: This function provides a detailed breakdown of water savings enabled by our operations. It highlights our water reuse, recycling, and recovery initiatives, demonstrating how our closed‑loop systems significantly reduce freshwater demand compared to household washing.
- Monetary savings: This function make sustainability benefits more tangible by translating environmental savings into potential annual cost reductions for households in energy, water, detergent, and garment replacement. This helps you understand that choosing a sustainable service model can also generate meaningful economic value for you and your employees.
*) Only weight-based fees are relevant – household fees must be paid by the residents, regardless of whether they produce textile waste or not.
1| ETSA – GfK 2012 Report
2| Electricity consumption per load
Calculations for yearly savings are based on CWS Workwear and CWS Healthcare operational data from 2025, publicly available data from consumer companies, environmental databases and government institutions. All published data is based on approximate values.