Instacart Data Science with Jeremy Stanley
Instacart is a grocery delivery service. Customers log onto the website or mobile app and pick their groceries. Shoppers at the store get those groceries off the shelves. Drivers pick up the groceries and drive them to the customer. This is an infinitely complex set of logistics problems, paired with a rich data set given by the popularity of Instacart.
Jeremy Stanley is the VP of data science for Instacart. In this episode, he explains how Instacart’s 4-sided marketplace business is constructed, and how the different data science teams break down problems like finding the fastest route to groceries within a store, finding the best path to delivering groceries from a store to a user, and personalizing recommendations so people can find new items to try.
Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.