This travel app can now use AI to predict delays on the next flight.

This travel app can now use AI to predict delays on the next flight.

Flighty has long been regarded as one of the best apps for tracking flight status. In version 4.0, the app is even better, as it now predicts whether a flight will be delayed and even tells you the reason for the delay.

The app combines machine learning with robust aviation data to proactively warn that a flight will not take off on time Could it have predicted CrowdStirke's failure? Probably not, but the collateral damage probably would have lasted for days.

In any case, this feature helps one plan one's trip accordingly. Of course, you'll still have to go to the airport until your flight is officially delayed, but at least you'll know what kind of mess you're getting into before you go.

With this update, the app will be able to monitor every traceable reason why your flight might be delayed and give you the best explanation as to why you'll spend the next part of your life sitting and waiting at the airport.

Possible reasons for flight delays include arriving aircraft delays, problems on the ground, weather events, runway closures, cab congestion, and understaffed air traffic controllers. All of these reasons are unpleasant for the customer, but knowing the reasons can help the customer understand the likelihood that the problem will be resolved quickly.

The delay reason feature is part of the app's Pro Plan, which costs $49 per year, but the first flight can try this feature for free. If you are an occasional traveler, you can pay $4 for a week's worth of Flighty Pro to use it on your trips, saving you money in the long run.

Another update to Flighty includes a new feature that predicts delays with over 95% accuracy. Impressively, the app predicts delays for the next flight six hours before the airline officially announces it.

Sure, it doesn't change anything, but the app provides you with takeoff and landing performance at your airport and helps you prepare for the worst.

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