Powering Glovo’s Machine Learning with Real-Time Data, part I: introduction.

This article is part of a series co-written with Pablo Barbero, Meghna, and Enrique Fernandez about Machine Learning feature engineering in production environments. You can find the articles focusing on the Data Science and Engineering aspects here and here.

In Glovo’s Routing team, we are tasked with developing Machine Learning (ML) models that estimate the time duration of every significant stage of a Glovo order. For instance, we have models for predicting the preparation time of a restaurant, the travel time of a courier, the total delivery time, among others…

Francisco Rodriguez Drumond

Data Scientist @ Glovo

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