The short answer
A fixed rota assumes every area is used equally, which no building does. Meeting rooms booked twice a week get the same attention as those booked hourly. Washrooms on a quiet floor get the same as the busiest ones.
Moving effort to where usage actually is usually improves perceived cleanliness without adding hours, which is the case that makes this worth doing.
Where the usage data comes from
- Room booking systems, which most offices already run
- Access control and door counts
- Existing building management systems
- Washroom entry counters
- Wifi association counts, as a rough proxy
- Dispenser sensors where fitted
The first two exist in most commercial buildings already and cost nothing to use. Start there before buying anything, because they answer most of the question.
What changes in practice
| Fixed schedule | Demand-based |
|---|---|
| Every room daily | Rooms cleaned after use, prioritised by booking |
| Washrooms on a timed round | Rounds triggered by footfall thresholds |
| Same hours per floor | Hours allocated to actual occupancy |
| Deep clean by calendar | Deep clean by cumulative usage |
The bottom row is worth noting. Periodic deep cleaning by calendar treats a heavily used area the same as a lightly used one, which is rarely what anyone wants.
Prove it before buying sensors
- Use booking and access data you already have.
- Compare it against the current schedule and find the mismatch.
- Trial a revised schedule on one floor or building.
- Measure complaints, consumable usage and hours.
- Only then fit sensors where the existing data is insufficient.
Sensor programmes are capital projects. Proving the principle on free data first makes the business case rather than assuming it.
Keep a floor under it
Some tasks need doing regardless of usage: legionella flushing on unused outlets, certain compliance checks, anything with a regulatory interval.
Demand-based scheduling has to sit on top of those minimums rather than replace them. Building that distinction in from the start avoids an uncomfortable conversation later.