Artificial Intelligence and Social Sciences

Description 

Data Science, or Data Science, has become a key tool for decision making in companies, including the hotel industry. On the other hand, Revenue Management (RM) is an information-based management philosophy that seeks to maximize profits by adjusting prices, capacity and sales strategies to meet demand. Specifically, within the hotel industry, the application of RM strategies is essential for optimizing resources and increasing profitability. 

In recent years, Data Science has become a key element in RM due to the large amount of information stored by hotel companies from data obtained, for example, from Customer Relationship Management (CRM), reservation management systems (CRS), social networks and online reviews. However, the collection of this data is worthless if it cannot be analyzed and used effectively. Data Science is responsible for analyzing and extracting valuable information from the data, allowing hotels to make more informed decisions. For example, historical occupancy and rate data is analyzed to identify seasonal patterns of demand for forecasting purposes. 

In summary, Data Science and RM are two key tools in the hotel industry to maximize profitability and improve the customer experience. By combining these two disciplines in a coordinated and accurate manner, more informed decision making is achieved and the effectiveness of these strategies is increased.

Projects

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