Abstract
In today’s fiercely competitive and dynamic market scenario, business enterprises are facing many problems due to increasing complexity of the decision making process. Besides, the amount of data to be analyzed has increased substantially. This has resulted in Artificial Intelligence stepping into decision making to make better business decisions, reduce latency and enhance revenue opportunities. Prophetia is a research project carried out to integrate Artificial Intelligence capabilities into TravelBox® technology – a range of solutions developed by Codegen International for Travel Industry. This research paper discusses three areas that were researched for the above purpose. These are, Probability Prediction – the use of Neural Networks for calculating the selling probability of a particular vacation package, Package Recognition – the use of Self Organizing Maps for recognizing patterns in past vacation package records, and Customer Interest Prediction – the use of association rule mining for determining the influence of customer characteristics on the vacation destination.
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Gunasekara, R.C. et al. (2009). Prophetia: Artificial Intelligence for TravelBox® Technology. In: Yu, W., Sanchez, E.N. (eds) Advances in Computational Intelligence. Advances in Intelligent and Soft Computing, vol 116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03156-4_3
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DOI: https://doi.org/10.1007/978-3-642-03156-4_3
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