FlightAware Foresight™
Predictive technology to strengthen customer trust in your operations
Predictive technology to strengthen customer trust in your operations
Using over three petabytes of global historical data, FlightAware Foresight models predict landing and gate arrival times with spectacular accuracy. No matter where you're flying in the world, you'll get industry-leading arrival predictions, including current flight position data, airport, en route weather forecasts (including METAR, NBM, and GFS), and airport and aircraft metadata.
By combining quantifiable real-time data and machine learning, we're able to take the guesswork out of taxi time estimates to support efficient ground operations, increased sustainability, and decreased fuel costs. Having the industry's most complete historical data allows FlightAware Foresight to dynamically adjust to changing conditions, bringing predictability to irregular operations.
With the most comprehensive dataset in the world, FlightAware Foresight's predictive models provide unprecedented insight to improve operational efficiencies and facilitate better decision making in the air and on the ground.
Ensure optimal use of all gate resources for faster turn times and better aircraft utilization
Improve fuel efficiency and further sustainability goals
Prioritize flights for on-time connections
Accurately predict aircraft in and on times with machine learning models
Proactively make intelligent decisions to improve on-time performance with 30-50% more accurate ETA predictions
FlightAware has the largest repository of historical data with a comprehensive global view of flight operations.
FlightAware Foresight, powered by HyperFeed®, produces the industry's best-in-class and most accurate flight tracking information by crunching hundreds of gigabytes a day and fusing billions of raw data points.
Combining our proven expertise in machine learning with access to the world's most comprehensive aviation and flight data repository fuels our predictive models - capable of identifying key influencing factors for any flight and predicting future events in real-time.