Embracing Efficiency and Precision
In the dynamic environments of modern buildings and facilities, traditional frequency-based cleaning schedules have become increasingly inefficient. These schedules often rely on estimations rather than actual needs, often leading to scenarios of under-cleaning or over-cleaning. This approach typically follows a standardised specification dictated by the client, based on their past experience and needs to meet a bidding standard. However, because the usage of a building or environment is not static, this method invariably leads to inaccuracies and inefficiencies, often resulting in excessive cleaning to mitigate risks.
Consider a retail high street fashion store with 10-20 changing rooms designed to handle peak weekend demand. During the week, only the first few changing rooms might be used, mainly on one floor, yet a cleaner is still required to check all 10-20 rooms equally. This scenario exemplifies the disconnect between cleaning schedules and actual cleaning needs.
The static nature of cleaning schedules can fail to adapt to the real-time usage patterns of the facility, leading to inefficiencies and increased operational costs. This can also cause customer dissatisfaction, and poor reviews, when actually refocusing cleaning efforts could avoid this problem.
To address these challenges, the industry must shift towards demand-led cleaning, where actions are triggered by specific needs. This transition is facilitated by leveraging real-time data and technology.
There are many ways this can happen, based on client needs, but one example of how this process can change to incorporate more demand led cleaning is by monitoring footfall and usage of the facility. One solution could be to deploy sensors throughout the facility to monitor usage and cleanliness. Once we have understood the flow of footfall and people in various locations, this can be used to push data to cleaning operatives, and move toward a demand led cleaning regime, where notification systems alert staff of specific cleaning actions based on real-time data. This ensures that cleaning tasks are only performed when necessary, based on actual usage.
The benefits of on-demand cleaning mean that resources are allocated precisely where and when they are required, reducing both wasted effort and also reducing operational costs. Staff can focus on areas that require attention, improving overall productivity and guest satisfaction, whilst also improving overall service quality. Not only that but reducing unnecessary cleaning leads to less consumption of cleaning materials and chemicals, contributing to a more sustainable and environmentally friendly operation. High-traffic and high-use areas can also be maintained to a higher standard, reducing risk of contamination and creating a healthier environment for occupants.
Transitioning from traditional frequency-based cleaning schedules to a demand-led cleaning approach is not just a technological upgrade; it is a necessary evolution to enhance efficiency, reduce costs, and improve the overall cleanliness and hygiene of facilities. By leveraging real-time data and sensor technology, organisations can ensure that their cleaning efforts are precisely aligned with actual needs, leading to a more effective and sustainable operation.
Adopting on-demand cleaning is the future, and the benefits it brings are manifold. It’s time to embrace this change and redefine the standards of cleanliness and efficiency in our buildings and facilities. SoftBank Robotics have a wealth of expertise in making this happen. If you are wondering how you implement technology or use better data in your environment or business, contact us here today for a chat about your bespoke requirements.