Forecasting
How we knew COVID was over (and what our models had to unlearn)
Our short summary of Airbnb’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on medium.com (opens in a new tab)Problem
Forecasts kept missing actual demand after COVID, causing biased planning decisions.
Solution
They created a process to decide whether to refit, redesign, or keep a model unchanged, analyzing bias before updating forecasts.
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on medium.com (opens in a new tab)