Remove merchants
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Selecting the Best Image for Each Merchant Using Exploration and Machine Learning

DoorDash Engineering

In order to inspire DoorDash consumers to order from the platform there are few tools more powerful than a compelling image, which raises the questions: what is the best image to show each customer, and how can we build a model to determine that programmatically using each merchant’s available images?

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Building DoorDash’s Product Knowledge Graph with Large Language Models

DoorDash Engineering

DoorDash’s retail catalog is a centralized dataset of essential product information for all products sold by new verticals merchantsmerchants operating a business other than a restaurant, such as a grocery, a convenience store, or a liquor store. Fortunately, product image quality varies less across merchants.

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How DoorDash Designed a Successful Write-Heavy Scalable and Reliable Inventory Platform

DoorDash Engineering

As DoorDash made the move from made-to-order restaurant delivery into the Convenience and Grocery (CnG) business, we had to find a way to manage an online inventory per merchant per store that went from tens of items to tens of thousands of items. So we need to make sure we process all of the merchant’s items with a reasonable latency.

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How Klarna Scales Buy Now Pay Later with Real-Time Anomaly Detection

Rockset

Klarna is a leading buy-now-pay-later company, giving shoppers more time to pay while paying merchants in full upfront. The number of new payment options helps over 500k merchants using Klarna to attract, convert and retain global shoppers.

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DoorDash identifies Five big areas for using Generative AI

DoorDash Engineering

In this blog post, we’ll examine how DoorDash hopes to leverage Generative AI and revolutionize the delivery experience. For instance, with Generative AI, when a customer lands on a merchant store, DoorDash could provide pre-built cart templates that cater to different family sizes and dietary preferences.

Food 98
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2022 Summer Intern Projects Article #3

DoorDash Engineering

This is the third blog post in a series of articles showcasing our 2022 summer intern projects. For example, an order submission will touch a customer, a Dasher (our name for delivery drivers), a merchant, a pay-in, and a payout. Ultimately, this lack of notifications can disrupt the merchant experience and should be rectified.

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Lifecycle of a Successful ML Product: Reducing Dasher Wait Times

DoorDash Engineering

Long Dasher wait times are a negative experience because it’s time Dashers could otherwise be using productively to maximize their earnings, and merchants may not want Dashers waiting for orders to be ready in a possibly small foyer. In order for a merchant to be onboarded on this flow, they will work directly with our merchant teams.

Food 72