At DoorDash, delivering relevant and high-quality search results is essential to ensure that customers find what they’re looking for quickly and effortlessly.
Category Archives: LLM
Using LLM to transcribe restaurant menu photos
A restaurant’s menu is one of its most important representations on a delivery platform.
How DoorDash leverages LLMs for better search retrieval
At DoorDash, users commonly conduct searches using precise queries that compound multiple requirements.
Unleashing the power of large language models at DoorDash for a seamless shopping adventure
Photo: Courtesy of The AI Conference
Imagine a bustling marketplace where consumers seamlessly connect with local merchants to get everything from groceries to gifts delivered to their doorsteps.
Path to high-quality LLM-based Dasher support automation
The independent contractors who do deliveries through DoorDash – “Dashers” – pick up orders from merchants and deliver them to customers.
Building DoorDash’s product knowledge graph with large language models
DoorDash’s retail catalog is a centralized dataset of essential product information for all products sold by new verticals merchants – merchants operating a business other than a restaurant, such as a grocery, a convenience store, or a liquor store.
How DoorDash Built an Ensemble Learning Model for Time Series Forecasting
In real-world forecasting applications, it is a challenge to balance accuracy and speed.
DoorDash identifies Five big areas for using Generative AI
In the wake of ChatGPT and Generative AI DoorDash is identifying ways this new technology can enhance the customer’s ordering experience on the platform.