This is how DoorDash uses Machine Learning & Optimization Models for delighting their customers
DoorDash is America’s biggest food delivery platform with more than 56% market share, and globally, the world’s 2nd biggest. Although there exists tons of other food apps/platforms which deliver restaurant food to customers, DoorDash has managed to carve a unique niche for itself in this hyper-competitive market by doing just one thing: Delighting its customers, consistently. Foodies who order from DoorDash are known to be fierce loyalists, as if part of a cult, and they dedicatedly order their food from this app, without fail. How has 9-year-old DoorDash been able to delight its customers and their vendors, consistently? What magic recipes have been used to understand their customers and decode their needs and resolve their pain points? The answer lies in Machine Learning and Optimization Models. We will discuss that shortly, but before that, let’s have an overview of DoorDash, and some fascinating statistics about their operations, which will surely amaze you! DoorDash: America’s big