
Expanding at events depends on cutting lines, speeding up service and keeping control in high-demand environments. Operations that use distributed, integrated systems can add points of sale without adding operational complexity. Solutions like myTapp Duo let you scale service with consistency, predictability and a direct impact on revenue per hour.
At events, expanding doesn't just mean opening more physical points. It means absorbing demand peaks with operational efficiency.
For Carlos, who manages events, this translates into a practical equation:
Efficient expansion happens when these three factors are coordinated with technology.
This model serves operations with:
Every minute in line represents unfinished orders.
Practical impact:
When each point operates in isolation, you get:
Without centralized data, Carlos can't:
Before the event, you need to estimate:
Implication: it defines how many points of sale are needed.
Avoid excessive concentration at a single point.
Technical criterion:
This is where the biggest scale gain is.
Practical example:
Result: the same point doubles its capacity without physical expansion.
This is where myTapp Duocomes in.
Duo lets you:
Direct impact:
During the event, decisions need to be fast.
With centralized data, Carlos can:
Indicator | Before optimization | After integrated operation |
|---|---|---|
Average line time | 10–20 min | 3–8 min |
Orders per hour/point | 40–60 | 80–120 |
Abandonment rate | High | Reduced |
Operational control | Fragmented | Centralized |
It depends on the expected volume and the average service time. The basic math is orders per hour vs. capacity per point.
No. Reducing service time can have the same effect as expansion.
Underestimating lines and having no real-time visibility into the operation.
It can replace or complement them, creating a more distributed and efficient operation.
Through indicators such as line time, orders per hour and abandonment rate.
myTapp Duo acts as an operations orchestration layer:
For Carlos, this means turning growth into something controllable and predictable.
Every event has a different consumption pattern. An assessment lets you identify:
Subscribe to the myTapp newsletter and get first access to new articles, with actionable insights for those who decide, plan, and run high-traffic businesses.
Selected content to explore topics such as self-pour beer, customer experience, and operational efficiency, with practical lessons for decision-makers and those who follow market developments.
At the largest motorcycle and rock festival in Latin America, with about 800,000 people over ten days, self-pour beer kept pace with the event's growth without losing control. In the 2026 edition, the volume served rose more than 18% and the number of sales grew almost 29%, while operational efficiency went from 89% to 93%. The case shows how smart taps sustain beverage operations when the crowd arrives in waves.

In high season, the bar line is one of the biggest bottlenecks at a park or resort: visitors give up, miss out on the attractions and the operation loses sales. Self-pour beer ends the wait, cuts beverage service staff by up to 80% and reduces waste from about 15% to 3%, with real-time consumption data for management.

At a festival's peak, the bar line is where revenue slips away. Self-pour draft beer ends the wait, cuts service staff by up to 80% and reduces waste from about 15% to 3%. With real-time consumption data, the operation decides on the spot and sells more at the moment that matters most.

Receive regular updates on new products and industry trends.