Elite cyclists are using artificial intelligence to get precise estimates of how many calories they will need for each stage of endurance races such as the Tour de France. Riders burn around 6000 calories a day during the Tour and food is so important to success that most teams employ numerous chefs and nutritionists.

It is impossible for a travel agent to keep track of all the offered tour packages. Traditional database-driven applications, as used by most of the tour operators, are not sufficient enough to implement a sales process with consultation on the World Wide Web. The last-minute travel application presented here uses case-based reasoning to bridge this gap and simulate the sales assistance of a human travel agent. A case retrieval net, as an internal data structure, proved to be efficient in handling the large amount of data. A usual tour package contains the flight to the destination and back, transfers from the airport to the hotel and back, board, and lodging.