Implementación de Machine Learning en Onvacation Hoteles

Abstract

OnVacation is a company in the tourism sector that offers its services taking into account the cost / benefit ratio in Colombia and Latin America, has 15 years of experience in the market. Inside of the services offered by Hotels with basic services, all included which has avi tickets? on, hotels, food and drinks, offer activities in tourist places, payment facilities, guarantee and support. Some of the national destinations that offer San Andrés, Amazonas, Eje Cafetero, Villavicencio, Girardot and Guajira, international destinations with which it counts are Curacao, Panama, Cancun and Isla Margarita. Vacation seeks that their clients can take vacations with the opportunity to Explore each place, with different options of rest, pleasure and business the best prices and good service. To improve the above, onVacation is looking for ways to offer a better service always thinking about the cost that can involve its customers and that is the most competitive in the market, for this they rely on tools technologies that allow them to streamline their processes and analyze data of customers and the sales they make, seeking to improve their offer, Such reason in the present work is to investigate as a tool like Azure Microsoft's Machine Learning may or may not help this kind of analysis of data and reach predictions that in the future allows the company offer better, more competitive prices and improve your income. Machine Learning is a branch of artistic intelligence that seeks means of algorithms performed machine learning. For research you can use the potential of this tool with the name of the search patterns in the historical sales and customer information of OnVacation and in this way find predictions that allow you to improve the prices that nowadays it is offered and which leads to an improvement in the income of the company.