Summit One Vanderbilt

Case Study — SUMMIT One Vanderbilt

Managing Crowds and Dwell Time Above Manhattan

SUMMIT One Vanderbilt used Safari AI to trace guest journeys from entrance to exit and measure live occupancy on the observation deck and in the gift shop.

Live
Deck Occupancy
End to end
Guest Journeys
By zone
Dwell Time

Measured from existing attraction cameras

Visitors at a glass-walled observation deck high above Manhattan at golden hour

Visitors bunched up at the windows of a crowded observation level
The Challenge

Crowding at the top showed up only when guests felt it.

Ticketing controlled how many guests entered, but not how long they stayed or where they gathered. Popular spaces filled while others sat quiet, and staffing for the deck and the gift shop was set before the day's crowd was known.

  • There was no live view of how many guests were in each space
  • Visit length and favorite spots were unknown
  • Staffing for the deck and shop was set before the crowd was known
See How Safari AI Solves This
What We Deployed

Every guest journey, from entrance to exit.

STEP 01

Connected to attraction cameras via an on-premise server

Existing attraction cameras fed a lightweight on-premise server Safari AI deployed, so video was processed on site.

STEP 02

Traced journeys and measured dwell

Computer vision followed guest journeys from entrance to exit and measured how long guests spent in each space.

STEP 03

Reported live and historical occupancy

Dashboards showed current and historical occupancy, with entry and exit patterns for the observation deck and the gift shop.

Guest Flow
Observation experience · Today · Updated 18:05
LIVE
On Deck Now
642
Comfort limit 750
Avg. Visit
74min
Entrance to exit
In Gift Shop
118
↑ 9% vs last hr
Entries
1,040/hr
Last hour
Guests on the observation level · by hour
ComfortableOver limit
COMFORT LIMIT 750
09:0010:0011:0012:0013:0014:0015:0016:0017:0018:00
SpaceOccupancyAvg. dwellEntries/hrStatus
Space #192%18m610Near limit
Space #264%12m420On target
Space #371%9m380On target
Gift shop58%11m260On target

Note: Illustrative data

The Result

More room to enjoy the view, better-timed staffing.

Visitors spread comfortably along floor-to-ceiling windows
Live
Occupancy

Current occupancy on the deck and in the gift shop let staff spread guests out before a space felt full.

Visitors browsing a modern gift shop at the end of the experience
End to end
Guest Journeys

Journeys were traced from entrance to exit, showing how long visits last and which moments hold guests longest.

Guests stepping out of an elevator as a host greets them
By zone
Dwell Time

Dwell by space showed peak engagement periods, guiding staffing and which parts of the experience to improve.

Action Center

Action Center: From Insight to Action.

Measurements like these feed Safari AI's Action Center, which moves staff toward a filling space before the experience suffers.

Measure
Every space, every guest
→
Alert
A space nears its limit
→
Recommend
Redirect guests, per SOP
→
Dispatch
Nearest host notified
→
Outcome
Room to enjoy the view
  • Real-time recommendations to improve KPIs via email, SMS, robocall, mobile app, Power BI, or API.
  • Recommendations grounded in your own written SOPs, not generic best practices.
What it means for guests Hosts redeployed → ↓ Crowding → ↑ Time at the view → ↑ Shop visits
Get In Touch

See this at your own attraction.

SUMMIT One Vanderbilt measured guest journeys and occupancy from cameras already in the attraction. We'll walk through which spaces and entrances are the best fit for a pilot on your cameras.

Guest Journey Tracing Occupancy Dwell Time

Get In Touch

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