the integration of cobotic cleaning solutions shines in their value for both cleaning staff and business costs.
Adaptation
We know hybrid working in some capacity is here to stay. Organisations need to adapt to this with how they’re deploying and scheduling their workforce to make best use of everyone’s time, energy and resources, but how do organisations know when, where and how to schedule work? Data is the key. Valuable insights delivered from cobotics and AI enhancements redefine how cleaning is delivered.
Traditional input-based cleaning methods, where cleaning specifications are set by a number of cleaners, volume of floor space and other traditional means of processes and analysis are no longer appropriate or fit for purpose in today’s dynamic workspaces. Many have experienced a bustling Monday morning in the office with all hands-on deck. People are jumping in and out of meeting rooms, bums are on seats and the workplace is alive. Yet, on Tuesday, it could be a totally different story, with a fraction of the people in.
This fluctuation is a very real reality which poses a challenge for cleaning staff. Data and insights collected by cobotic solutions helps produce a picture of where, when and what needs cleaning and at what intervals. There is such a thing as overcleaning and when it comes to materials such as flooring, overcleaning can damage the fibres or integrity of the floor and result in replacement or refurbishment costs.
The ability to curate and adaptively respond to cleaning requirements and needs on an ever-evolving and developing basis is now an invaluable tool in the arsenal of cleaning suppliers.
Delivering benefits
From the perspective of client to business relations, transparency and assurance of the work being completed is a necessity. In a time of rising costs and budgets being crunched, organisations need to understand their value for money and the quality of the delivered service. Traditional input-based methods may struggle to legitimately or definitively deliver this data.
Cobotics with the power of AI and MI capabilities mean that exporting this definitive and conclusive data means that cleaning companies can provide clear results to customers and partners. Further to this intelligent data delivery, cobots intelligently learn their routes to the most efficient standard, meaning that work can be completed faster but with the expected high-quality results, every time. Deploying cobotic cleaning solutions is the marriage of high efficiency meeting consistent standards across the board.
It’s not all about the visual aesthetic and fast delivery of the clean. There are legitimate benefits to investing in high- quality, consistent cleaning solutions for the benefit of health and wellbeing amongst your cohort of staff in-office. High footfall areas on carpeted space will quickly pick up materials and fibres from people’s shoes, for example. Eventually, and if not thoroughly cleaned, this can impact air quality.
Dried soil and other small particles can amount to diminished air quality by six to 14 times, compared to a regularly and thoroughly cleaned carpet in research conducted by the International Journal of Environmental Research and Public Health. Think of the knock-on impact to allergies and those sensitive to poor air quality when so much time is spent indoors within these spaces.
Conclusion
The contemporary challenges we’re facing within the cleaning industry will not slow down. What we must do is try and stay ahead of the curve and invest in the technology that will futureproof the industry, while also protecting the livelihood of frontline workers and enable them to develop and integrate into a wider array of meaningful tasks.
Technology must be embraced to elevate the entire industry. To put it bluntly, we must all adopt and transform, or risk being left behind, feeling the brunt of recruitment struggles and disenfranchised workforces. Together, with the helping hand of a symbiotic workforce joined by cobots, we can elevate all of ourselves into the future. It’s a bright, and clean, one.
emea.softbankrobotics.com
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70
