Most office buildings do not have a space shortage. They have a space mismatch. The badge data says the building runs at 55% capacity, yet employees complain daily that they cannot find a meeting room. Walk the floors and you find the reason: twelve-person boardrooms occupied by two people on a video call, while every mute box on the floor has a queue outside it. That gap — between what the booking system claims and what the sensors actually observe — is where smart building occupancy analytics earns its budget line.
Calendar data tells you a room was reserved. It tells you nothing about whether anyone showed up, how many people attended, or how long they actually stayed. Vemco's platform combines Elsys occupancy sensors in each room with booking data from the company calendar, so facility teams can finally answer the questions that drive floor-plan decisions: Which room sizes are chronically over- or under-specified? Are the eight-person rooms consistently hosting two-person calls? Do certain floors need more mute boxes and fewer formal rooms?
The most immediately popular feature with employees is automatic release of ghost bookings. If a booked room shows no presence 15 to 20 minutes after the booking started, the platform releases it back to the booking system automatically. No workplace app nudges, no shame emails — the room simply becomes available again. In practice, this single mechanism often recovers more usable meeting capacity than a fit-out project would, at a fraction of the cost.
Mute boxes deserve their own analysis, because they behave differently from bookable rooms. They are typically walk-up spaces, so calendar data is blind to them entirely. Sensor-based occupancy and dwell time data reveal whether they are used for quick five-minute calls or occupied for hours as improvised private offices — a distinction that completely changes how many you need and where they should sit relative to open desk areas.
In a hybrid workplace, the single most valuable operational number is how many people will actually be in the building tomorrow. The Vemco platform connects directly to the company calendar to understand who is working from home, and combines that with historical footfall patterns to calculate and predict the number of employees coming to the office on a given day. That one forecast feeds several downstream decisions:
Footfall counters at entrances then validate the forecast against reality, which matters if you intend to make decisions on the data. Vemco states counting accuracy honestly: a contractual minimum of 96%, typically reaching 98–99% when conditions such as lighting, layout and visitor behaviour allow. That distinction is worth insisting on with any vendor — a flat accuracy claim with no conditions attached is a marketing number, not an engineering one.
The canteen is where occupancy data touches employee experience most visibly. Queue measurement in food courts and canteens shows exactly when waiting times spike, how long the peak lasts, and whether it is a staffing issue or a station-layout issue. Some organisations use this to stagger lunch communications by department; others use live occupancy displays so employees can check the queue from their desk and time their visit. Both approaches flatten the 12:00 peak without any structural change to the canteen itself.
The same visitor numbers attack food waste from the supply side. When the kitchen plans production from measured attendance and a reliable forecast — rather than a fixed assumption of headcount — over-production drops noticeably. For organisations with ESG reporting obligations, this is one of the few sustainability initiatives that produces both a measurable CO2 story and a direct catering cost reduction in the same quarter.
Fixed cleaning schedules were designed for buildings where attendance was predictable. In hybrid buildings, they guarantee waste in both directions: toilets on a quiet floor get cleaned three times a day, while the heavily used meeting suite near reception is cleaned to the same rota despite triple the traffic. Sensor-based visitation counts let facility teams steer cleaning to where people actually went — a toilet block cleaned after every 80 visits instead of every three hours, a meeting room refreshed only after use. Cleaning contractors are increasingly willing to price activity-based scopes, but only if the client can supply defensible visitation data. That is precisely what counters and Elsys sensors provide.
A practitioner's note: the projects that stall are almost never blocked by sensor technology. They stall on works-council and privacy conversations that started too late. Anonymous counting — people as numbers, never identities — is straightforward to defend, but you need that framing agreed with employee representatives before the first sensor goes on a ceiling, not after someone spots it. Plan the data-governance conversation into week one of the project, and the rollout itself becomes uneventful.
Second, resist the temptation to buy point solutions per use case. A meeting-room tool here, a queue camera there, a separate attendance dashboard — each with its own login and its own definition of "occupancy" — produces numbers nobody trusts. The value comes from one platform reconciling calendar, footfall and sensor data against each other. Vemco is deliberately sensor-agnostic, so existing counters and sensors can usually feed the same platform rather than being replaced.
Corporate offices are demanding environments, but they are not the hardest counting environments in the world — retail is. Vemco counts more than 85 million people per day across over 2,000 customers in 95-plus countries, and the same platform, VemSpace, is used by more than 100 universities to manage libraries, study spaces and campus buildings with exactly the mismatch problems described above. A platform hardened on retail footfall and university campuses handles a corporate headquarters comfortably, and the analytics vocabulary — live occupancy, dwell time, peak analysis — transfers directly.
If your booking system says the building is full while half the rooms sit empty, or your canteen swings between queues and leftovers, the data to fix it can be flowing within weeks. Talk to Vemco about smart building occupancy analytics for your offices — meeting rooms, mute boxes, canteen queues, cleaning and attendance forecasts in one platform: contact Vemco Group here.