

| Manual Queue Management | Smart Event Queue Management |
| Long, unpredictable wait times | Predictable entry flow with real-time visibility |
| High staff load, frequent burnout | Optimized staff deployment based on live data |
| Safety risks from overcrowding | Real-time monitoring prevents capacity breaches |
| Low attendee satisfaction | Smooth entry boosts overall event perception |
| Struggles to scale beyond a certain size | Scales seamlessly across formats and volumes |




Client insight: The UI Path event witnessed 6200 visitors on opening day, and all the tickets were generated using the Qwaiting self-service kiosk. The 4-day-long event went all smooth and wait times per visitor dropped by 71%, ultimately improving visitors' experience.


| Metric | What Queue Data Reveals |
| Entry time per attendee | Efficiency of the check-in process |
| Staff deployment patterns | Where and when staff is most needed |
| Zone congestion levels | Crowding risk and flow imbalances |
| Attendee flow by segment | VIP, general, accessibility patterns |