Make every classroom and building count
Every guest WiFi connection is a data point. Across every campus, every hardware vendor, normalized into a single queryable format that your AI agents understand.
The challenges
Building utilization is unknown
Lecture halls, libraries, and student centers are scheduled based on decades-old patterns. Nobody knows which buildings are at 90% capacity and which are at 30% on any given Tuesday.
Classroom scheduling is inefficient
A 300-seat lecture hall is booked for a 40-person class because the department "always uses that room." Meanwhile, smaller classrooms are over-subscribed and students sit on floors.
Capital planning lacks real data
Building a new student center costs $50M. The proposal is based on enrollment projections and student surveys, not actual space usage data. The risk of building the wrong thing is enormous.
How GuestNetworks solves it
Campus-wide occupancy intelligence
Every building, every floor, every room — tracked through the WiFi infrastructure you already operate. Know exactly how your campus is being used, hour by hour, building by building.
Right-size classroom assignments
Match actual attendance (measured by device count) to room capacity. Identify classes that consistently under-fill their assigned rooms and reassign them to free up large venues for courses that need them.
Evidence-based capital planning
Present the Board of Trustees with 12 months of actual utilization data. Prove whether that new building is necessary, or whether reconfiguring existing space would serve 10,000 more student-hours per semester.
Classroom air quality
CO₂ thresholds wired to schedule data — empty rooms ventilate themselves.
ROI Calculator
200 classrooms with 30% improved utilization frees up 60 room-slots. At an estimated $33K per room per year in operating cost, that is $2M+ in avoided construction or lease expense.
Key metrics you will track
Popular connectors for education
State university avoids $12M building project with utilization data
A 25,000-student public university in the Southeast
The university was preparing to break ground on a new $12M classroom building. Campus-wide WiFi occupancy data revealed that existing classrooms were only 54% utilized on average, with some buildings below 35%. By reassigning classes based on actual attendance data, they freed enough capacity to defer construction by 5 years.
“The data showed us we did not have a space problem. We had a scheduling problem. That insight saved $12 million.”
Ready to optimize your campus?
Your campus WiFi already covers every building. Turn it into a space planning platform.