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Dynamic pricing allows hotels to optimize revenue by adjusting rates in response to market changes and demand fluctuations, including sudden spikes.
This is achieved through automation, technology, yield management and the right revenue management tools. By analyzing data such as booking trends, customer behavior, competitor rates and even weather conditions, hotels can forecast demand and identify patterns from past periods.
To make pricing recommendations, smart revenue management systems like Atomize analyze:
With the power of machine learning and AI, your revenue management system can analyze this historical data to better predict future demand, enabling you to adjust prices accordingly. Properly managing room inventory alongside dynamic pricing is also crucial to optimize rates and maximize total revenue.