Airlines and travel platforms often employ sophisticated algorithms and machine learning models to make these predictions. Factors considered in price prediction models include historical pricing data, time of booking, route popularity, seasonality, competition, seat availability, and more. These models aim to provide travelers with insights into when to book flights for the best deals, helping them make informed decisions about their travel plans. Accurate price predictions benefit both travelers seeking cost-effective options and airlines looking to optimize revenue management.