Automating Cleaning Services ︎︎︎

2nd Place Winners

ISSA Pulire Hackathon, May 2023
Find More Here ->

How might we leverage smart building data, AI & cleaning devices to create an adaptive yet efficient cleaning service that minimises human intervention, optimises resource usage, and promotes a healthier environment?

^{Service Design, UX Design Thinking, Trend Analysis & Forecast, Business & Strategic Innovation}

_{1. Brief & Overview}

Traditional cleaning services rely heavily on manual labor, with the lack of real-time data on building conditions often resulting in cleaning tasks being performed at suboptimal times, leading to wasted resources and less effective cleaning outcomes.
On the other hand, the cleaning sector is rapidly evolving, driven by technology that's defining efficient cleaning practices. Automation, data-driven methods for example: automated cleaning robots in both home & corporate sectors are pivotal, boosting productivity and eco-friendliness. This evolution not only opens new avenues for professional cleaners but also enhances work quality & upskilling opportunities.

All 15 teams participating in the hackathon were given this brief, competing to demonstrate how cleaners, when trained and equipped with digital tools, can contribute in achieving the ESG goals of the cleaning industry & generate measurable value.

^{Hackathon Brief By Jill Frey, CEO, Cummins Facility Services & other board members of FDS (Facility Data Standard)}

You as a cleaning service provider, should design an innovative, automated or semi-automated service for an upcoming logitics warehouse facility, considering the ESG (Environmental, Social & Governance) Goals, also keeping in mind the health & safety of both service providers & the building as a whole.

_2.

An example about how our concept works in a crux,

^{Picture a cleaning robot assigned to a stock-filled room where humidity rises by 30% compared to surrounding areas. The robot smartly opts for thorough dry cleaning over wet methods, and if needed, promptly alerts personnel for intervention.}

_{3. The Interaction}

Our concept also revolves around a simple, easy to use application software for the personnel which involves tailor made schedules, cleaning updates, re-stocking & intervention alerts, while providing weekly training and upskilling sessions. All these features are taken to keep in mind employee well being, upskilling & reachability in order to reduce redudancy, over-working or even loneliness in an automated warehouse. On the backend, managers have access to a CRM Dashboard which shows progress, problems or improvement areas of employees, robots and building health in general.

_{Personnel & Management Dashboards}

_{4. Mentor Feedback}

Our team, sponsored by Vileda Professional was mentored by, Manfred Zielbauer -> & Pavel Fomin -> who guided us all along this interesting journey of coming up with a winning solution, aimed at solving real-world problems.

^{“Our aim of organizing and sponsoring the FDS-Pulire Hackathon was to get an outside-in-view from non-biased fresh minds...mission accomplished ! Thank you for an oustanding concept developed in a challenging 7 hours race and congratulations for winning the second place. Vileda Professional is extremely proud of being the sponsor and supporter of this highly talented team. It was a pleasure to see multi-cultural woman-power in action. Any future employer can be happy to get any of you on board. All the best and thanks again!”}

Manfred Zielbauer

_5.

One of the jury members of the hackathon, Alexandra Goman -> says

^{“Great job! As part of the jury, I can say it was a tough decision (between the 1st & 2nd place), because the pitch of your team & the project presented was excellent!”}

2nd Place Winners

How might we leverage smart building data, AI & cleaning devices to create an adaptive yet efficient cleaning service that minimises human intervention, optimises resource usage, and promotes a healthier environment?

_{1. Brief & Overview}

_2.

^{Picture a cleaning robot assigned to a stock-filled room where humidity rises by 30% compared to surrounding areas. The robot smartly opts for thorough dry cleaning over wet methods, and if needed, promptly alerts personnel for intervention.}

_{3. The Interaction}

_{4. Mentor Feedback}

_5.

^{“Great job! As part of the jury, I can say it was a tough decision (between the 1st & 2nd place), because the pitch of your team & the project presented was excellent!”}

^{Download
CV}

^{My Work}

^{About Me}

window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-GX886BY2ZZ'); 2nd Place Winners

How might we leverage smart building data, AI & cleaning devices to create an adaptive yet efficient cleaning service that minimises human intervention, optimises resource usage, and promotes a healthier environment?

1. Brief & Overview

2.

Picture a cleaning robot assigned to a stock-filled room where humidity rises by 30% compared to surrounding areas. The robot smartly opts for thorough dry cleaning over wet methods, and if needed, promptly alerts personnel for intervention.

3. The Interaction

4. Mentor Feedback

5.

“Great job! As part of the jury, I can say it was a tough decision (between the 1st & 2nd place), because the pitch of your team & the project presented was excellent!”

Download CV

My Work

About Me

2nd Place Winners

_{1. Brief & Overview}

_2.

^{Picture a cleaning robot assigned to a stock-filled room where humidity rises by 30% compared to surrounding areas. The robot smartly opts for thorough dry cleaning over wet methods, and if needed, promptly alerts personnel for intervention.}

_{3. The Interaction}

_{4. Mentor Feedback}

_5.

^{“Great job! As part of the jury, I can say it was a tough decision (between the 1st & 2nd place), because the pitch of your team & the project presented was excellent!”}

^{Download
CV}

^{My Work}

^{About Me}