Portfolio Strategy
Right-size your Portfolio
We simulate the optimal space dimension that guarantees the best employee experience. This simulation is done by training our Machine Learning platform with the usage patterns of each single occupant, obtained from the measurement of the 24/7 occupancy data.
How is the Scaling Factor KPI calculated?
1
Setting the expected area (m²) per person to ensure an ideal user experience
2
Measuring average occupancy for each area
3
Anonymously analysing users’ behaviours (when they enter and the time they spend in each area)
4
Providing the Scaling Factor KPI of the space reduction capacity, taking into account the established area per person
5
Simulating the future occupancy for multiple scenarios from the behaviour pattern of the observed users
Scaling Factor, the KPI you need
Right-size your Portfolio
KPI that provides an optimization ratio per floor and per building
Make confident decisions
Machine Learning simulations minimize planning errors (<2%)
Simulate optimization
Concentrate floors and buildings considering real usage patterns
Know your ROI status
Quantify the return of investment and the costs you save
(m² reduction)
