Inspiration

The powerful SITA APIs and this hackathon provided us a platform to realize our dreams to turn the challenge of long waiting times into an opportunity in the form of in-flight rewards.

What it does

Crowded flights, long queues & endless waiting time. That’s been the norm since airports have opened their gates to passengers again. No one likes waiting and as an airline, you don’t want to make your customers feel disappointed.

As per numerous studies, only a small percentage of flyers opt for in-flight sales, and given the impact COVID-19 has had on the aviation sector, airlines are doing their best to cover up for the losses. What if we were able to build a solution that makes flyers feel better if they have to wait for a flight? On top of it, what if that solution encourages flyers to shop in-flight?

Presenting Flying Lilly! She is the virtual air hostess who takes good care of her passengers. She asks the flyer to enter their origin and destination along with their email address. This is followed by a short quiz that tests the passenger’s knowledge of their destination, and then, boom! Just like magic, Lilly generates an automated discount coupon based on the waiting time of the passenger. The flyer can use this coupon to avail discounts while shopping in-flight. The passenger feels better having been compensated for the delay and at the same time they get an incentive to make a purchase.

The secret sauce behind Lilly’s powers is SITA’s Open APIs including wait time, weather, FLIGHT FOLLOWER. The wait time API helps us calculate the waiting time for each flight, the weather API lets us show the current temperature of the destination, and the Flight Follower API provides map images of flights as they progress on their routes.

So, what are you waiting for, let’s start flying!

How we built it

We built the Flying Lily using Node.js and Express server for the backend, power of SITA APIs to get the airport data, and HTML, CSS, Javascript for the frontend. Postman was very useful to familiarize ourselves with the APIs.

Challenges we ran into

We faced challenges in coming up with the idea regarding how to effectively use the wait time data to help the passengers and airlines. We never thought that it would be possible to get the wait time data and Flight following pictures, and seeing that it is possible overwhelmed us with the options but we were finally able to select the project to work on.

Accomplishments that we're proud of

We are proud to use the combination of multiple APIs of SITA to reward the passengers for long waiting times.

What we learned

This experience helped us learn the importance of teamwork, meeting deadlines, and dealing with Airport data.

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