We launched our new Consumer Packaged Goods (CPG) Interest Targeting initiative to let advertisers target consumers on new verticals (convenience stores, groceries, DashMart, etc.) based on their restaurant order history.
Category Archives: Data
A simulation and evaluation flywheel to develop LLM chatbots at scale
In DoorDash Support, we need useful automations to give our customers and Dashers easy access to quick and complete issue resolutions.
Previously, we hand-built detailed decision trees — workflows — that allowed users to navigate through selecting options or writing free text that was then mapped to available branches.
Accelerating experimentation at DoorDash with a multi-armed bandit platform
At DoorDash, experimentation is foundational to product iteration and improvement.
Beyond Single Agents: How DoorDash is building a collaborative AI ecosystem
Knowledge at DoorDash is vast and distributed, spread across experimentation platforms, metrics hubs, dashboards, wikis, and the institutional wisdom embedded in team chats.
How DoorDash Ads keep consumers first with budget A/B experimentation
Ads play an important role at DoorDash in keeping delivery fees affordable while surfacing sponsored results consumers actually want.
Building an anomaly detection platform at DoorDash to catch fraud trends early
Fraud doesn’t always kick the door down.
Bridging SQL Dialects: Building a unified translator
In today’s data-driven world, there is a significant advantage to being able to support a polyglot data environment in which different storage and processing technologies are used to handle various needs.
How DoorDash achieves fast travel estimates
Online ordering and delivery have become an increasingly popular lifestyle.
How DoorDash is pushing experimentation boundaries with interleaving designs
We’ve traditionally relied on A/B testing at DoorDash to guide our decisions.
Safeguarding app health and consumer experience with metric-aware rollouts
As part of our ongoing efforts to enhance product development while safeguarding app health and the consumer experience, we are introducing metric-aware rollouts for experiments.