Using predictive AI to tell travelers when a flight's price is about to move.
Author
Noah Proctor
Format
Browser extension
Core Tech
Predictive AI (not generative)
Data Sources
Reddit sentiment, YouGov
I built this case around a problem I've lived through; it took me two weeks to hit "purchase" on a flight home, mostly because I had no idea if the price I was looking at was a good deal or about to change. Turns out that hesitation is common, so I used Reddit sentiment and YouGov data to dig into why, and landed on a solution using predictive AI (not generative or agentic) to tell users when and how a flight's price is likely to move.
The full case walks through the problem, why a browser extension beats a standalone app, how it stacks up against Hopper and Google Flights, and the business model tradeoffs worth wrestling with.
Known weakness: the primary weakness of this study is in the proposed business model, why would airlines want to implement an extension that prevents them from profiting on increased fares? However, price transparency leads to increased user trust, or this service could function as a premium insight only members use.