In 2013, London Water, the water system of the City of London, Ontario, has run deficits for eight of the past nine years, leading to significant pressure to pull the organization out of the red. The Water Engineering Division manager knows that something needs to change. Overhauling the rate structure is an attractive option; however, myriad political, economic and environmental issues are at play. Moreover, as steward of one of the city’s most important utilities, the manager needs to determine the best course of action, ideally a solution that will work in both the short run and the long run. See supplement case 9B15B010.
In 2013, London Water, the water system of the City of London, Ontario, has run deficits for eight of the past nine years, leading to significant pressure to pull the organization out of the red. The Water Engineering Division manager knows that something needs to change. Overhauling the rate structure is an attractive option; however, myriad political, economic and environmental issues are at play. Moreover, as steward of one of the city's most important utilities, the manager needs to determine the best course of action, ideally a solution that will work in both the short run and the long run.
The owner of a small air-passenger firm transports individuals and small groups to remote waterfront regions. The business serves two types of customers: private and public. The private customers can afford to pay more, while the public customers' budget constraints limit what they can pay. The owner wants to set a single price that will maximize his expected revenue across both customer groups. A constraining factor is the plane's limited capacity, which means the owner cannot accommodate all requests. In other words, after a flight has been sold out, seats may still be requested by customers who potentially might be willing to pay more. See supplement W13725.
In 2010, the owner of a small air-passenger firm transports individuals and small groups to remote waterfront regions. The business serves two types of customers: private and public. The private customers can afford to pay more, while the public customers’ budget constraints limit what they can pay. The owner wants to set a single price that will maximize his expected revenue across both customer groups. A constraining factor is the plane’s limited capacity, which means the owner cannot accommodate all requests. In other words, after a flight has been sold out, seats may still be requested by customers who potentially might be willing to pay more. See supplement 9B13E014.
At the University of Wyoming, home games played by the men's basketball team generated significant revenues for the Athletics Department through ticket and concession sales. With the 2009-2010 season ending, it was time to forecast revenues for the upcoming season. Even though ticket prices were already set, providing a revenue forecast was difficult, as the schedule of home games for the 2010-2011 season was not yet known, and both ticket and concession sales for each game were uncertain.
At the University of Wyoming, home games played by the men’s basketball team generated significant revenues for the athletics department through ticket and concession sales. With the 2009-2010 season ending, it was time to forecast revenues for the upcoming season. Even though ticket prices were already set, providing a revenue forecast was difficult, as the schedule of home games for the 2010-2011 season was not yet known, and both ticket and concession sales for each game were uncertain. A director of business operations for the athletics department needed to review data from the four most recent seasons and determine the best way to forecast revenues for the upcoming season.
In June 2008, the Kimpton Hotels' area director of revenue management (director) for Washington, D.C. was trying to process the most recent customer information report from Priceline.com (Priceline). In an attempt to improve revenues during periods of low occupancy at the hotel, the director had recently been using Priceline's name your own price bidding format. While using this sales channel had limited success, the director was wondering the best way to maximize the revenue coming from Priceline without cannibalizing existing sales or tarnishing the Kimpton brand. His challenge was to create a pricing strategy that would determine the optimal posted price for rooms in the Washington, D. C. hotel as well as the number of rooms that should be provided to Priceline.
In June 2008, the Kimpton Hotels' area director of revenue management (director) for Washington, D.C. finished creating a pricing strategy that would determine the optimal posted price for rooms in the Washington, D. C. hotel as well as the number of rooms that should be provided to Priceline.com. He realized there was even more potential to gain revenue by posting more than one price; however, this would add further complexity into the strategy and he was unsure of the potential impact of having multiple posted prices.
The Kimpton Hotels' area director of revenue management (director) for Washington, D.C. was excited about using Priceline.com to help fill rooms on some of Kimpton's low-demand weekends. He estimated the coming weeks' demand across three rate classes and across three lengths of stay (LOS), and he wanted to make sure he did not use Priceline.com too aggressively by releasing too many rooms onto the site.
In June 2008, the Kimpton Hotels' area director of revenue management (director) for Washington, D.C. was trying to process the most recent customer information report from Priceline.com (Priceline). In an attempt to improve revenues during periods of low occupancy at the hotel, the director had recently been using Priceline's "name your own price" bidding format. While using this sales channel had limited success, the director was wondering the best way to maximize the revenue coming from Priceline without cannibalizing existing sales or tarnishing the Kimpton brand. His challenge was to create a pricing strategy that would determine the optimal posted price for rooms in the Washington, D. C. hotel as well as the number of rooms that should be provided to Priceline.
In June 2008, the Kimpton Hotels' area director of revenue management (director) for Washington, D.C. finished creating a pricing strategy that would determine the optimal posted price for rooms in the Washington, D. C. hotel as well as the number of rooms that should be provided to Priceline.com. He realized there was even more potential to gain revenue by posting more than one price; however, this would add further complexity into the strategy and he was unsure of the potential impact of having multiple posted prices.
The Kimpton Hotels' area director of revenue management (director) for Washington, D.C. was excited about using Priceline.com to help fill rooms on some of Kimpton's low-demand weekends. He estimated the coming weeks' demand across three rate classes and across three lengths of stay (LOS), and he wanted to make sure he did not use Priceline.com too aggressively by releasing too many rooms onto the site.