Title: Crowd Flow Analysis for Smukfest | Brokk & Sindre Description: When thousands of festival-goers switch stages at the same time, bottlenecks form. Without data, it's guesswork where the problems occur. Canonical: https://brokk-sindre.dk/en/cases/smukfest-crowdflow - [Home](/en) - [Cases](/en/cases) - Smukfest crowdflow # Crowd Flow Analysis for Smukfest When thousands of festival-goers switch stages at the same time, bottlenecks form. Without data, it's guesswork where the problems occur. By Mikkel Krogsholm · July 15, 2024 Existing data can change an operational decision when the work starts with a concrete question. Here, the question was where thousands of people would move next. - 500,000+ favorites from 25,000 guests analyzed - 1,168 crowd flows identified across 7 stages - Proof of concept on 2025 data for 2026 planning ## Background Smukfest has an app where guests mark the artists they want to see. Those data had not yet been used to understand movement between stages. I lead data and analytics at Smukfest, and I wanted to see the movement show by show and hour by hour. If 12,000 people walk from Shawn Mendes to Nik & Jay, security and logistics need advance warning of the pressure on each area. ## What I built SmukFlow takes more than 500,000 favourites from nearly 25,000 guests and calculates movement patterns between 194 shows across 7 stages over 8 days. ### Tech stack - **SQLite** for data with optimized indexes - **Python** for computation and resolving time conflicts - **[D3.js](https://d3js.org)** for interactive visualization of flows between stages The algorithm builds a “path” for each guest based on their favorites, resolves overlaps via popularity, and aggregates all paths into crowd flows. The entire calculation runs in under 10 seconds. The result is a map of the festival showing exactly which corridors get congested, when peak times hit, and how many people move between which stages. ## Results SmukFlow was built as a proof of concept on 2025 data for use in 2026 planning. It gives security, logistics and festival leadership a shared data basis for discussing staffing, capacity and simultaneous headline shows. ## Related cases ### Global Sales Forecasting IKEA needed reliable sales forecasting across more than 30 countries with different market conditions, seasonal patterns, holidays and local demand. ### AI-Powered Risk Assessment for Smukfest Hundreds of artists, thousands of guests, and a security team that needs to prepare for everything from mosh pits to quiet jazz sessions. ## Do you face a consequential AI decision? Write about the decision, or ask about a leadership briefing or talk.