Hey Rui! I really liked your questions:

- Regarding the 2nd degree polynomials. You nailed it, 2nd degree polynomials are parameter-less (I guess the choice of the degree is the parameter itself), they're well known and quite robust. The problem with them is they have a strong assumption: the rate of change on the relationship is constant, which doesn't fit out domain knowledge. However recently I had the chance to try other transformations but couldn't beat them. Splines don't really work for our business needs and I tried other basis (sigmoidal and gaussian) and would only work for very specific…


This article describes work done by multiple people from the forecasting team. Particularly Pablo Portillo Garrigues played an important role in implementing some of this work and Kolja Kleineberg contributed through multiple discussions and on the writing of the article itself.

The problem

Glovo is a three-sided marketplace composed of couriers, customers, and partners. Balancing the interests of all sides of our platform is at the core of most strategic decisions taken at Glovo. To balance those interests optimally, we need to understand quantitatively the relationship between the main KPIs that represent the interests of each side.

Let’s take the example of…

Javier Mas Adell

Data Alien

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store