Visits differed 2.6× between peak and quiet hours
The studio measured more than 1,800 monthly visits and used hourly demand to schedule classes and staff.
visits measured per month
peak vs quiet-hour visit gap
Class times and staffing were set by feel
The studio set class times and staffing by feel, with no clear view of when people actually came in across the day and week. Quiet hours and peak hours blurred together, which made it hard to place classes and staff where demand really was.
Footfall broken down by hour and day to reveal demand
SpaceVision measured footfall at the studio and broke it down by hour and day. The result is a simple read of when visits cluster and when they thin out, running on-device with no personal data stored.
Classes and staffing now follow hourly visit demand
The studio scheduled classes and staff against hourly visit counts and now reviews the same metric in regular operating decisions.
Hour-by-hour visit data became the basis for operating calls
Scheduling
Places classes in the hours where demand actually is.
Staffing
Sets staff against busy and quiet hours as they really run.
Standing input
Uses the same visit data as a regular input for operating decisions.