Mathieu Ripert on Instacart’s Machine Learning Optimizations

Instacart is an online delivery service for groceries under one hour. Customers order the items on the website or using the mobile app, and a group of Instacart’s shoppers go to local stores, purchase the items and deliver them to the customer. InfoQ interviewed Mathieu Ripert, data scientist at Instacart, to find out how machine learning is leveraged to guarantee a better customer experience. InfoQ: What architecture are you using to process event data and what is the data volume/ throughput? Ripert: First, we have a distributed architecture. Our system is split on business domain (Catalog, Logistics, Shoppers, Partners, Customers, etc.), as this allows each domain to be developed and deployed independently, and ensures a clear primary owner for the code and models within. Each domain has its own data…


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