The Standard Issue 4 2023

Tools like Whiz provide immediate
feedback on cleaning performance.
This real-time data allows our teams
to identify areas that may require
more attention, ensuring consistent
cleaning standards across all
locations.
The integration of IoT sensors offers
a wealth of information. These
sensors can detect foot traffic, dirt
accumulation rates, and even air
quality. By analysing this data, we
can tailor our cleaning schedules
to address high-traffic areas more
frequently, ensuring a cleaner and
healthier environment.
By studying trends and patterns in
the data, we can predict potential
cleaning challenges before they
arise. This proactive approach means
we can allocate resources more
efficiently, preventing issues rather
than just reacting to them.
Data interpretation is now a core
component of our training programs.
Our operatives are taught not just
cleaning techniques but also how
to read and act on data insights.
This dual expertise ensures that our
teams are equipped to handle the
challenges of today's data-driven
cleaning environment.
We use data to set benchmarks
and performance metrics. Regular
reviews of this data allow us to
identify areas of improvement,
ensuring that we continually refine
our processes and deliver the best
possible service to our clients.
By embracing a data-driven
approach, we are not only setting
new standards in cleaning but also
ensuring that our clients benefit
from the most efficient, effective,
and tailored cleaning solutions
available.
The cleaning industry is on the
brink of a transformative era. With
the rise of collaborative robots
like Whiz and the emphasis on
data-driven training, the future
promises not just cleaner spaces
but smarter solutions. As Birkin
charts this exciting journey, our
unwavering focus remains: to offer
our clients unparalleled excellence,
underpinned by relentless
innovation.
GARETH LEVERTON
MANAGING DIRECTOR,
BIRKIN GROUP
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