Advancing towards sustainable cleaning models

We want to carry out cleaning where it is needed most, instead of focusing on frequency. Cleaning areas that do not need cleaning does not create value and is a waste of resources. Conversely, not cleaning extremely dirty premises leads to unnecessary wear and tear. 

We know that the use and thus the dirtying of premises varies over time. Some days are rainy and entrances get extra dirty. Other days there are a lot of visitors and the guest toilets are used more than other days. These examples highlight the value of a flexible delivery model if we can identify where and when cleaning needs to be prioritised. We call this type of delivery model data-driven cleaning. 

Different types of information are needed to facilitate data-driven cleaning. We may need sensors that continuously provide our cleaners with information on how many people are in the customer’s premises and what the air quality is like in each room. Information that helps the cleaners prioritise where to clean.

We might also need to look at seasonal variations at the customer’s premises. Perhaps we can see patterns over time linked to how the premises are used and adapt the cleaning to them, or use historical data and weather forecasts. The more sources we can integrate, the smarter the solutions we can offer. By collecting relevant data, we can optimise our resources and deliver a cleaner experience that better preserves our customers’ properties.

Large amounts of data are already being collected through different types of sensors in our workplaces. By combining existing data with automation processes, we can find more efficient solutions that facilitate future service needs.

In cleaning services, we can combine historical data on the number of people using a space with weather forecasts to estimate how dirty the floors are expected to be. This is an example of data-driven cleaning that enables cleaning adapted to needs instead of controlled by frequency. The result is a cleaner impression, which leads to more satisfied customers who get more bang for their bucks. It also reduces unnecessary wear and tear on floor surfaces, for example, which can have a shorter lifespan if they are cleaned too rarely or too often. Sensors and connected devices can also add significant value in property maintenance.

The collection of information creates greater value in the long run; by finding relevant areas within an organisation, there is potential for time and cost efficiency. Technology that allows us to be more proactive instead of doing things according to a certain schedule means that services are of higher quality, higher reliability and also become cheaper.

We can demonstrate documented success in delivering high-quality, environmentally sustainable cleaning. 

Thanks to data-driven cleaning, we clean premises the right amount, which reduces unnecessary wear and extends the life span of surface areas.  

We already use only microfiber materials and tap water for cleaning. On the rare occasions where this is not enough, we use plant-based cleaning agents with minimal environmental impact. It is important to Coor to continue to develop detergent-free cleaning methods. 

To minimise water use, we utilise ground-breaking innovations that make a significant difference, such as the Mimbox. To help our customers contribute to a more sustainable climate, we monitor developments to reduce the environmental impact of the toilet and hand towel paper in our deliveries. This is because the use of these products generates significant emissions of greenhouse gases.