Intelligent decision support for dynamic price tracking
iMean AI's Scheduled Flight Monitor uses a distributed crawler architecture to scan the prices of direct/transit routes of 138 airlines around the world every minute, and then combines them with the historical price database to make trend forecasts. Its "Scheduled Flight Monitor" feature breaks through the static query mode of traditional price comparison websites. When users set up monitoring tasks (e.g. "Shanghai-London flights in September"), the system continuously tracks price fluctuations and identifies price fluctuations through a machine learning model in 24-72 hours. The system continuously tracks price fluctuations and identifies the best window to buy tickets within 24-72 hours through machine learning models. Measurement data shows that this function saves users an average of 17.3% in airfare, with savings of up to 40% on international routes in peak seasons, and the "Last Minute Flight" function utilizes the sales pattern of airlines' tailgate cabins, which can help temporary travelers get discounts of up to 60%. In addition, the "Last Minute Flight" function utilizes the sales pattern of airlines' tailgate cabins to help temporary travelers obtain discounted air tickets up to 60%.
This answer comes from the articleiMean AI: A one-stop personalized travel planning toolThe
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