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From a historical perspective, the interest in Revenue Management practices started with the pioneering research of Rothstein (1971, 1974) and Littlewood (Littlewood 2005) on airline and hotel overbooking. However, it was probably after the work of Belobaba (1987) and the American Airlines success (Vinod 2016) that the field really took off. The airline industry provided researchers with a concrete example of the tremendous impact that Revenue Management tools can have on the operations of accompany (Bitran and Caldentey 2003). Today, Revenue Management is an analytical process that relies on analytics to help predict customer behaviour and optimize inventory, production and pricing to maximize revenue. In other words, it is about understanding supply and demand trends and identifying what customers value most. This allows businesses to anticipate demand changes and other factors that should be …