by Jeremy Stanley
VP of Data Science at Instacart
The on-demand economy is a notoriously difficult business, proven by the number of companies that have tried to deliver products and services within hours and failed. Take two established players who threw in the towel last year – eBay gave up on their same-day delivery service initiative, and Google shuttered two Bay Area facilities set up for a competing service of its own.
In this session, Jeremy Stanley, VP of Data Science at Instacart, explains how Instacart is making on-demand profitable with data science, putting them at the top of the food chain. He will cover the following:
How Instacart has used data science to optimize last-mile delivery and balance supply and demand to drive efficiency gains that are transforming unit economics
How improvements in predicting outcomes, batching algorithms, and forecasting have contributed to delivery efficiency
How data science is organized at Instacart and how it collaborates with product, engineering, and field operators to make rapid innovation possible