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  2. Air travel is breaking records, but a lack of planes could ...

    www.aol.com/finance/air-travel-breaking-records...

    EasyJet's share price is now at a high because it predicts a 3% increase in capacity in 2025. ... (30% less than forecast for 2024). In 2018, for example, airlines received 1,813 new planes ...

  3. MSN Travel - Wikipedia

    en.wikipedia.org/wiki/MSN_Travel

    Farecast was founded in 2003; Farecast's team of data miners used airfare observations to build algorithms to predict future airfare price movements. [3] In April 2008, Farecast was acquired by Microsoft for $115 million. [4] Microsoft officially integrated it as part of its Live Search group of tools in May 2008.

  4. Stock market prediction - Wikipedia

    en.wikipedia.org/wiki/Stock_market_prediction

    The successful prediction of a stock's future price could yield significant profit. The efficient market hypothesis suggests that stock prices reflect all currently available information and any price changes that are not based on newly revealed information thus are inherently unpredictable. Others disagree and those with this viewpoint possess ...

  5. Skyscanner - Wikipedia

    en.wikipedia.org/wiki/Skyscanner

    In 2011, Skyscanner acquired Zoombu. [6] Skyscanner opened an office in Singapore in September 2011, which is headquarters for its Asia-Pacific operations. [7] In 2012, a Beijing office was added, as Skyscanner began a partnership with Baidu, China's largest search engine. [8] By 2013, the company employed over 180 people. [9]

  6. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    Predictive modeling is a statistical technique used to predict future behavior. It utilizes predictive models to analyze a relationship between a specific unit in a given sample and one or more features of the unit. The objective of these models is to assess the possibility that a unit in another sample will display the same pattern.

  7. Price optimization - Wikipedia

    en.wikipedia.org/wiki/Price_optimization

    Price optimization utilizes data analysis to predict the behavior of potential buyers to different prices of a product or service. Depending on the type of methodology being implemented, the analysis may leverage survey data (e.g. such as in a conjoint pricing analysis [7]) or raw data (e.g. such as in a behavioral analysis leveraging 'big data' [8] [9]).

  8. Economic forecasting - Wikipedia

    en.wikipedia.org/wiki/Economic_forecasting

    The economist conducts statistical tests and develops statistical models (often using regression analysis) to determine which relationships best describe or predict the behavior of the variables under study. Historical data and assumptions about the future are applied to the model in arriving at a forecast for particular variables. [7]

  9. Opodo - Wikipedia

    en.wikipedia.org/wiki/Opodo

    The price tracker dashboard uses AI-technology and gives customers more transparency over airline prices, thus helping them make informed decisions before purchasing a flight. [18] Opodo plan to include a price prediction functionality in the future. [19]

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