IoT & AI Solution for Predictive Cleaning
IoT & AI Solution for Predictive Cleaning
Real-time monitoring and alerting for optimised cleaning operations.

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ABOUT US

Vision - "To standardise public toilet hygiene globally"

Mission - "To create a pleasant toilet experience using smart IoT solutions"

BACKGROUND: THE PROBLEM WITH FACILITY CLEANING

Facilities such as malls, offices, schools, airports etc. hire a cleaning company to run cleaning operations on their facilities. These cleaning companies deploy cleaners on the facility who handle tasks such as indoor/outdoor cleaning, toilet cleaning, carpet cleaning etc. Toilet cleaning and maintenance involves cleaning of toilets, replenishing consumables (such as toilet rolls, soap) and litter picking etc. Cleaning is scheduled as a series of periodic monitoring and tasks. During periodic monitoring, the cleaners go around, check the status of the toilets, complete tasks needed and log them manually on log sheets placed inside the toilets. However, this is a reactive approach and fails to deliver the expected service quality due to high dependence on manual operations and reporting.

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PROBLEM STATEMENT

What are we solving?

Standardize Cleanliness

"Clean" is a very subjective quantity. So it's hard to achieve expected cleaning standards with changing cleaning companies and cleaners.

Monitoring & Quality Control

Not feasible to physically monitor the cleanliness of the facility periodically. Lack of means to understand user perception of quality.

Paper Based Task Recording

Paper based task recording leads to localized information, not easily accessible to cleaning supervisors and facility managers.

Manpower Wastage

Toilet usage pattern varies with time-of-use and type-of-day. Hence, scheduled monitoring wastes manpower.

OUR PARTNERS

OUR SOLUTION

What are we making

Virtual Cleaning Supervisor

AI algorithms learning cross facility insights to schedule cleaning operations and suggest actionable tasks.

SENSORS

Air quality monitoring, wetness detection, usage pattern and feedback modules with emergency respose buttons.

CLEANING COMPANY DASHBOARD

Cleaner management system, real-time monitoring, automated task logging, analytics and insights.

CLEANER APP

Automated attendance, task logging and receive alerts and emergency cleaning requests.

FACILITY MANAGER DASHBOARD

One click monitoring and analytics based on sensor data and feedback and report generation.

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OUR UNIQUE VALUE PROPOSITION

THE TEAM

Our team collectively brings over 40 years of experience in business and technology. We specialize in end-to-end development of IoT solutions.

Lav

Lav

CEO & Co-Founder

9 years of cross disciplinary experience in Research, Software Engineering, Sales & Marketing, Business development at ABB, TCS and NTU. (PhD- EEE NTU)

Stella

Stella

COO & Co-Founder

10 years of experience in Business development, Sales & Marketing and account management, Co-founded Spotless Pte. Ltd (facility management company) in 2012. BSC(Finance) – SIM University.

Sarah

Sarah

IoT Engineer

Electrical engineer experienced in sensor technology, sensor integration, data analysis and specialised in automaton and control engineering. (MSc - ECE NUS)

Neel

Neel

Software Engineer

Software engineer trained in full stack, agile, embedded systems and a knack for IoT. (MTech - NUS ISS)

TRACTION

Tweets by @TwitterDev

CONTACT

Lets get in touch. Send us a message:

Singapore

Phone: +65 83759830

Email: enquiry@smartclean.sg


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