DEMAND-BASED CLEANING
Use real-world occupancy and service data to deploy labour more intelligently, prove performance and strengthen client value.
Move beyond fixed cleaning schedules with Demand-Based Cleaning, live alerts, digital proof of service and operational reporting.
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Trusted across cleaning and FM environments
Rising labour costs, tighter margins and higher client expectations make fixed schedules increasingly difficult to defend.
Cleaning companies need to get more value from every deployed hour.
Activity reports are no longer enough; clients increasingly want evidence of performance.
Busy areas can fall behind while low-use areas continue to receive the same service.
Without measurable operational evidence, conversations often return to price.
Where does actual demand differ from the schedule — and what could change if the team could see it?
Demand-Based Cleaning complements contractual schedules with live operational demand; it does not simply replace scheduled service.
OBSERVE
What is actually happening?
Occupancy, washroom usage, feedback and service activity.
UNDERSTAND
What does it mean?
Where is demand rising? Which areas are quiet? Where is service falling behind?
DECIDE
What should we do?
Deploy a cleaner, change priority, investigate an issue or adjust service frequency.
IMPROVE
What can we do better?
Use performance data to refine deployment, SLAs and future service design.
Flexicount combines the right occupancy, service and workflow technology around the operational challenge rather than forcing every building into the same solution.
Proximity Sensor
Presence Sensor
People Counter
Every facility faces different challenges, from hybrid working to hygiene standards. Flexicount helps you adapt with intelligent, data-driven solutions.
Deploy labour more intelligently
Focus resource where actual demand is highest.
Reduce unnecessary visits
Avoid servicing quiet areas simply because the schedule says so.
Respond faster
Use live demand and feedback signals before standards fall.
Prove service delivery
Create digital evidence of activity, response and outcomes.
Strengthen SLA performance
Give managers clearer evidence of where intervention is required.
Differentiate tenders and renewals
Demonstrate practical innovation and measurable client value.
When managers can see demand, activity and response more clearly, they can prove performance, demonstrate innovation and change the conversation with the client.
How live demand moves from measurement to operational action.
Measure occupancy, utilisation and cleaning demand across every building in real time.
Automatically identify when cleaning is needed using live occupancy thresholds and demand alerts.
Deploy cleaners, complete digital check-ins and create time-stamped proof of service.
Use live reporting and analytics to improve labour deployment, SLA performance and operational efficiency.
Stay ahead with insights and case studies showing how IoT and analytics are transforming modern cleaning and FM operations.
CASE STUDYA pilot deployment helped JPC by Samsic identify opportunities to reduce unnecessary cleaning visits, align resources with real building demand, and demonstrate the operational value of Demand-Based Cleaning before rolling the solution out across an entire 45-storey office building.
CASE STUDYDiscover how TCFM combined occupancy monitoring, customer feedback and digital reporting to replace assumptions with trusted operational insight, giving both supervisors and their client greater visibility of service delivery.
CASE STUDYSmarter Services uses Flexicount occupancy technology across washrooms and shared amenities at The Rex. Wireless sensors and people counters reveal changing demand, helping teams refine cleaning frequencies and make more evidence-led service decisions.
Common questions about using occupancy data and Operational Intelligence to support commercial cleaning operations.
Demand-Based Cleaning uses real-world occupancy, usage and service data to help cleaning teams understand where demand is actually occurring and respond more intelligently.
Rather than relying only on fixed schedules, Flexicount can use live occupancy thresholds, feedback and service activity to help teams decide where attention is needed and when.
No. Demand-Based Cleaning is designed to complement contractual cleaning schedules, not simply replace them.
Fixed schedules can continue to provide the agreed service baseline, while live operational data helps managers identify changing demand, prioritise additional intervention and refine future service planning.
Occupancy sensors or people counters measure how spaces are being used. Flexicount then turns that information into useful operational insight, such as identifying busy areas, quieter locations or when an agreed usage threshold has been reached.
Cleaning teams can then respond to actual demand rather than relying only on assumptions or time-based frequencies.
Flexicount can generate alerts when agreed operational thresholds are reached or when another service trigger requires attention.
Depending on the deployment, alerts can be surfaced through the Flexicount platform and sent to relevant teams so supervisors or cleaners can respond quickly and create a record of the action taken.
Yes. Flexicount can combine digital check-ins, service activity, alerts, feedback and other operational records to create clearer evidence of what happened and when.
This can help cleaning companies move client conversations beyond simply proving that contracted hours were supplied and towards demonstrating demand, response, activity and service outcomes.
Yes. Flexicount is designed to support multi-site cleaning and facilities operations.
Managers can use consistent operational information across different buildings while still configuring thresholds, workflows and reporting around the specific demands of each location.
The information collected depends on the operational question being addressed.
Flexicount can work with data such as occupancy, people counts, space utilisation, service activity, QR feedback, digital sign-offs and alerts. The aim is not to collect data for its own sake, but to provide the information needed to make better operational decisions.
A pilot normally begins with a clearly defined operational question, such as identifying where fixed schedules do not reflect actual demand.
Flexicount can then be deployed across selected washrooms, floors or buildings to measure usage, establish demand patterns and test how better information could change cleaning deployment or service response.
The results can then be reviewed before deciding whether to expand the approach across more locations.
Start with the cleaning challenge. We'll explore where real demand data and practical innovation could improve deployment, evidence and contract value.