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Flight fare analysis predicts daily lowest prices for specific routes using SARIMAX, a sophisticated time series model. Multiple SARIMAX models are employed for each airline on a route, considering seasonality, trends, cyclicality, and demand fluctuations. This ensures complexity and efficiency, aiding informed decisions for airlines and travelers. By integrating daily fluctuations, the model offers a comprehensive understanding of price dynamics, enhancing forecast accuracy. SARIMAX’s adaptability allows seamless integration with diverse data sources, facilitating versatile applications. Meticulous analysis of historical and real-time data empowers stakeholders to optimize travel plans and financial strategies. This approach benefits airlines by enabling effective revenue management and pricing strategies, while also aiding travelers in budgeting and informed decision-making. Continued research will enhance SARIMAX’s accuracy, contributing to aviation industry efficiency and transparency.

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Optimal Flight Ticket Price Discovery Using Time Series Analysis SARIMAX Model

  • 会议论文

  • 发表日期：

    2025年

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  • Avinash Reddy Kovvuri,
  • P. Shyamala Madhuri,
  • D. Shankar,
  • Mallela Santhi Priya,
  • Mohammad Sajidh Ali,
  • Surya RamTeja Managam

摘要

Flight fare analysis predicts daily lowest prices for specific routes using SARIMAX, a sophisticated time series model. Multiple SARIMAX models are employed for each airline on a route, considering seasonality, trends, cyclicality, and demand fluctuations. This ensures complexity and efficiency, aiding informed decisions for airlines and travelers. By integrating daily fluctuations, the model offers a comprehensive understanding of price dynamics, enhancing forecast accuracy. SARIMAX’s adaptability allows seamless integration with diverse data sources, facilitating versatile applications. Meticulous analysis of historical and real-time data empowers stakeholders to optimize travel plans and financial strategies. This approach benefits airlines by enabling effective revenue management and pricing strategies, while also aiding travelers in budgeting and informed decision-making. Continued research will enhance SARIMAX’s accuracy, contributing to aviation industry efficiency and transparency.