Dynamic Pricing Automation requires real-time, accurate data from a variety of sources, which refers to local and global economic factors, events and weather reports as well as key metrics, such as average daily rate, cancellation and occupancy, revenue per available room, reservation behavior, average occupancy rate, gross operating profit per available room. By integrating and analyzing all this information, Hotel industry is able to predict customer behaviour, understand how its properties are performing compared to their competitors in the same area targeting similar profiles and eventually adjust its pricing strategy accordingly and proactively.

Tracking real-time data is directly profitable for the hotel industry.
Analyzing booking patterns shows the demand trends which you can use to implement dynamic pricing.
Hotels can also use real-time data to create tailor-made packages and offer them to the right customers at the right time.
Adopting a pricing strategy based on real-time data analytics is essential for hotel revenue management