Occupancy Management · Invisible Sun

Reservations Show Intent. Occupancy Shows Reality.

Occupancy Management measures how buildings, entrances and spaces are actually being used. Invisible Sun turns people counts, traffic and utilization data into a clearer picture of demand—so workplace teams can plan better and facility teams can respond to what is really happening.

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The missing middle

Connect What People Planned to Use With What They Actually Used.

Workspace Planning and Occupancy Management answer different questions. Ronspot helps manage the resources people intend to use. Invisible Sun Occupancy Management measures actual demand. Together, they create a stronger operating picture.

01 · PLAN

Workspace Planning

Desk, room and parking reservations show planned demand and help employees coordinate their day.

Explore Workspace Planning
02 · MEASURE

Occupancy Management

People counts, traffic and utilization show how buildings and spaces were actually used.

Core capabilities

From Counts to Actionable Occupancy Intelligence.

The objective is not simply to collect sensor data. It is to translate actual space use into information facility teams can act on.

01

Entrance & Foot Traffic

Measure people entering, leaving or moving through defined locations.

  • Daily traffic volumes
  • Peak periods
  • Location comparisons
  • Trend reporting
02

Space Utilization

Understand how shared areas and operational spaces are actually used.

  • High-use vs. low-use areas
  • Utilization patterns
  • Time-of-day demand
  • Historical comparisons
03

Thresholds & Exceptions

Convert occupancy conditions into operational events instead of asking teams to watch dashboards continuously.

  • Usage thresholds
  • Exception alerts
  • Service triggers
  • Escalation workflows
A working day, hour by hour: average occupancy curve and hourly arrivals vs. departures, from 30 days of live sensor data

Based on 30 days of live sensor-counted movement across 13 entrances: the building fills fast from 09:00–11:00, peaks near midday with heavy two-way churn, then drains steadily after 16:00—demand that can be measured, not assumed.

Connected operating model

Measure Demand. Trigger Action. Verify the Outcome.

Occupancy becomes most valuable when it informs what happens next.

01 · MEASUREUnderstand useCapture people counts, traffic and space activity.
02 · INTERPRETIdentify demandCompare current and historical activity against thresholds.
03 · RESPONDTrigger actionDirect the appropriate facility or cleaning response.
04 · VERIFYClose the loopUse Proof of Presence and inspections to document response and quality where applicable.
Two ways occupancy creates value

Use the Same Demand Signal Across the Workplace and Soft FM.

Workplace & Portfolio Decisions

Compare planned demand with actual use to understand where space is being used, where it is underused and how demand changes over time.

  • Support utilization analysis
  • Understand attendance patterns
  • Inform space and resource planning
  • Provide evidence for portfolio decisions

Occupancy-Driven Cleaning

Use actual traffic and occupancy as a demand signal for cleaning. Higher-use spaces can be prioritized while lower-use spaces can be serviced according to actual need.

  • Prioritize high-use locations
  • Trigger service based on thresholds
  • Connect demand to Proof of Presence
  • Close the loop with AI-assisted inspections
Explore Occupancy-Driven Cleaning →
Comparisons

How does Occupancy Management compare?

How does Invisible Sun Occupancy Management compare to badge swipe data?

Badge swipe data shows building entry but not what happens inside—where people go, which spaces they use, or how long they stay. Occupancy Management uses sensors to track actual movement and space utilization throughout the building, giving facility teams a complete picture of demand, not just a front-door count.

Why use occupancy sensors instead of Wi-Fi or network connection data?

Wi-Fi connection data estimates presence based on device connections, but not everyone connects, devices multi-connect, and the data doesn't show where people actually are within the building. Dedicated occupancy sensors measure physical presence directly—at entrances, in zones, and across spaces—providing more accurate and actionable utilization data.

How does this compare to camera-based people counting?

Camera-based counting can work for entrance traffic but raises privacy concerns and can be affected by lighting, crowding, and camera placement. Invisible Sun uses sensor-based people counting that preserves privacy while still capturing accurate traffic, utilization, and threshold data across the facility.

See How Your Building Is Really Being Used.

Connect planned workplace demand, actual occupancy and service delivery in one facility operating strategy.

Schedule a Demo →