Know what percentage of your estate is actually occupied — and what every vacant square metre is costing.
The question "what percentage of this building is actually in use, and what is it costing per square metre?" is straightforward to ask and surprisingly difficult to answer in most FM operations. The space record exists somewhere — a floor plan, a tenancy schedule, a room booking system. The cost record exists somewhere else — a finance ledger, a utilities spreadsheet, a maintenance budget. Nobody has formally connected them, so every time the question is asked, someone spends a day assembling the answer manually. In a retail or mixed-use environment, this matters more than it might appear. An FM operator who cannot demonstrate space utilisation to a mall owner cannot support renegotiation of vacant units. A corporate occupier who cannot show cost-per-m² by department cannot defend a facilities budget. A government entity that holds more space than it uses cannot support a consolidation recommendation without the data to back it. Coreziyo Space Utilisation brings occupancy, vacancy, and cost data into a single view, structured by the spatial hierarchy. Rooms are tagged with usage type and capacity. Occupancy records — from booking systems, lease records, or manual headcount — attach to the space. Operational costs from maintenance and utilities are allocated to the floor or zone that generated them. The cost-per-m² calculation is not a month-end exercise; it is a live number that reflects the current state of the estate.
Space is a cost before it is anything else. Every square metre under management has a carrying cost — energy to condition it, staff to maintain it, insurance to protect it, depreciation on the plant that serves it. When that cost is invisible, organisations over-occupy, under-charge, and make capital decisions based on intuition rather than data.
Coreziyo’s space utilisation capability makes the carrying cost of every space visible as a live number — not a quarterly analysis, not a board paper assembled over three weeks, but a filterable view that any manager with access can query in the moment the question arises.
For GCC operators managing diverse portfolios — towers, malls, government campuses, healthcare facilities — this means that space rationalisation is a data exercise, not a political one. The recommendation comes from the system. The conversation about which floors to consolidate starts from evidence, not from whose department is being asked to move.
What you actually get
Occupancy and vacancy tracking
Every room or zone carries an occupancy status — occupied, vacant, under refurbishment, reserved. Status updates from lease records, booking entries, or manual updates. Vacancy rates by floor, building, or portfolio are visible in real time, not reconstructed monthly.
Capacity and usage type classification
Rooms carry designed capacity, actual usage type, and gross/net area. A meeting room designed for 12 but consistently booked for 4 is identifiable. Classification feeds space rationalisation decisions and supports lease negotiations with data, not anecdote.
Cost-per-square-metre allocation
Operational costs — energy, maintenance, cleaning, insurance — are allocated to the floor or zone that incurred them, based on the spatial hierarchy. Cost-per-m² is calculated automatically and updated as costs are posted, not built manually at month-end.
Tenant and cost-centre chargeback
In multi-tenant environments, space costs can be apportioned to tenants or cost centres based on the area they occupy and the services they consume. Chargeback reports are produced from the same data that runs operations — no separate billing reconciliation process.
Space rationalisation reporting
Vacancy trends, under-utilised rooms, and high-cost-per-m² floors are surfaced as decision-support views. A facilities director reviewing the estate sees where space can be consolidated, sub-let, or repurposed — with the data to support the recommendation to the board.
How it shows up in real operations
A GCC government entity managing a 2.4 million square metre estate across 14 buildings needed to respond to a ministerial directive to reduce its occupied footprint by 15% within 18 months. The challenge was not deciding to rationalise; it was knowing where to start. With space utilisation tracked in Coreziyo, the analysis took three days rather than three months: the 12 floors with the lowest occupancy rates and the highest cost-per-m² were identified, ranked, and presented to the executive committee with supporting data. In a mall environment, the same capability supports tenant chargeback for common-area maintenance. Instead of a fixed service charge, costs are allocated by the proportion of gross leasable area each tenant occupies — a calculation that Coreziyo produces automatically each month from the same operational data that runs maintenance and energy management.