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Business travel booking engine with rewards for saving money

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This is the 3rd launch from Upside. View more

Delay Predictor

Machine learning based flight delay predictor

Flight Delay Predictor from Upside Business Travel is a machine learning based product that attempts to predict the likelihood your flight is to be delayed.

Delay Predictor gallery image
Delay Predictor gallery image
Delay Predictor gallery image
Launch tags:
Travel•Developer Tools•Artificial Intelligence
Launch Team

What do you think? …

Jacqueline von Tesmar
Hey @ian_cassidy, There seem to be a lot of apps for getting money from the airlines if your flight is delayed. Is this something you've thought of integrating into this project?
Ian Cassidy
Maker
Hi @jacqvon, we've seen a lot of these other apps, but what we are trying to do here is help our customers make better decisions so that they can get to their destination on time. If you book with Upside, our customer service team is immediately alerted if your flight becomes delayed and will offer to help put you on an alternate flight. We are working towards integrating the prediction engine into this process when we have high confidence that your flight may become delayed.
Ryan Hoover
This is super interesting. Here's an example of a flight from SFO to LAX Wednesday afternoon: Although I'm not sure I'm willing to risk arriving late based on these predictions. 😅
Ian Cassidy
Maker
Hey @rrhoover, thanks for trying out the Delay Predictor! It looks like the model is pretty uncertain about this flight since it is ~2 days out, which makes sense. Keep monitoring the probabilities as it gets closer to the departure time to see how things are changing!
Malavika Vivek
Hi @ian_cassidy could you go into a little more detail on how the prediction algorithm works? I'm a student and am super curious about how you guys built this!!
Ian Cassidy
Maker
Hi @malavika_vivek, we actually have a blog post about the algorithm and I just added a link above. Here it is: https://engineering.upside.com/a...
Malavika Vivek
@ian_cassidy thank you!