Reducing Wait Times and Improving the Guest Experience
Merlin Entertainments uses Safari AI to measure and improve ride dispatch, fill rate, and guest throughput across parks in Europe, North America, and Japan.
Based on comparable high-demand operating days
Throughput, fill rates and queue wait times are either inaccurate or not known in real time.
The industry standard is to rely on end-of-day reports, manual headcounts, or gut feel. By the time a problem is resolved, thousands of guests have already experienced it.
- Queue wait times are estimated using inaccurate heuristics and manual counts
- Operators run below dispatch targets with no real-time feedback
- Reports arrive too late to influence same-day performance
Two measurements, one live operations picture.
Connected to ride cameras via an on-premise server
Existing station and queue cameras feed a server inside the park, so video stays on site and no new hardware is needed at the ride.
Collected and analyzed real time data
Computer vision counts every dispatch, occupied seat, and guest entering or leaving the queue, around the clock.
Created real time reports showing ride performance
Live dashboards show throughput, dispatch rate, and fill rate by attraction and by hour, against each ride's target.
Note: Illustrative data
Faster lines, more riders through the gate.
Faster ride dispatch cycles reduce guest wait times.
More seats filled per dispatch, on average.
More guests moved through the attraction per hour.
Ranges reflect comparable high-demand days with normal ride uptime; individual results vary by attraction, season, and market.
Action Center: From Insight to Action.
Deploying staff to improve fill rates and throughput for each ride in real time, further reducing wait times, the #1 customer pain point in the industry.
- 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.
See this on your own attractions.
Merlin got a measurable lift in guest experience from cameras already on site, and matched-condition comparisons isolate the platform's impact from shifts in attendance. We'll walk through which rides and dispatch points are the best fit for a pilot on your cameras.
