While many hotel assistant tools existed, they rarely leveraged event data effectively. Most simply listed nearby events without deep insights. We saw an opportunity: What if hotels could predict demand surges based on real-time event trends and optimize pricing accordingly?
A year later, we put our idea into action. Our first tests focused on Bundesliga matches—not predicting scores, but forecasting stadium attendance and visitor inflow from other cities. After extensive modeling, we built our first version—a simple but effective tool. From there, we scaled up:
If you’re a hotel, revenue manager, or industry professional, we’d love to help you use event-based forecasting to maximize profitability. Let’s connect! 🚀