Spaces & Occupancy
A space-level model granular enough to drive chargeback, cleaning routes, hot-desking and capacity simulations. Occupancy is logged over time, so any horizon can be reconstructed without snapshots.
Functional areas this module covers.
Space inventory
Spaces, subspaces with type, usage, area, capacity and finishes.
Occupancy logging
Time-series occupancy from sensors, swipes or schedules.
Zone aggregation
Logical zones spanning spaces for cleaning, security and reporting.
Capacity planning
Scenario tables for restacks, density change and seating policy.
Catalogued in the Schema Explorer.
Unlocked by the depth of this module's schema.
Utilisation forecasting
Predict next-week occupancy per floor for cleaning and security staffing.
Restack optimisation
Recommend space reassignments to maximise utilisation under policy constraints.
Hot-desk demand modelling
Forecast desk demand per neighbourhood by hour.
Sample queries an AI agent can resolve against this module.
“Show occupancy rate by floor for the London HQ this month.”
“Which spaces are under 30% utilised this quarter?”
“List zones whose density exceeds the policy ceiling.”
Pre-built summary views and the metrics teams track.
Summary views
- Dailydaily_occupancy_summaryPeak and average occupancy per floor.
- Monthlymonthly_space_occupancy_summaryUtilisation trend per space type.
Key KPIs
- Utilisation %Time-weighted occupied vs. available.
- Peak densityMax concurrent occupants per zone.
- Stranded capacityAllocated but unused desks per cost centre.
Where this module connects across the platform.