A restaurant’s menu is one of its most important representations on a delivery platform.
Tag Archives: machine learning
Experiment Faster and with Less Effort
Business Policy Experiments Using Fractional Factorial Designs
At DoorDash, we constantly strive to improve our experimentation processes by addressing four key dimensions, including velocity to increase how many experiments we can conduct, toil to minimize our launch and analysis efforts, rigor to ensure a sound experimental design and robustly efficient analyses, and efficiency to reduce costs associated with our experimentation efforts.
Personalizing the DoorDash Retail Store Page Experience
The DoorDash retail shopping experience mission seeks to combine the best parts of in-person shopping with the power of personalization.
Transforming MLOps at DoorDash with Machine Learning Workbench
It is amusing for a human being to write an article about artificial intelligence in a time when AI systems, powered by machine learning (ML), are generating their own blog posts.
How DoorDash Improves Holiday Predictions via Cascade ML Approach
At DoorDash, we generate supply and demand forecasts to proactively plan operations such as acquiring the right number of Dashers (delivery drivers) and adding extra pay when we anticipate low supply.
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.
Using CockroachDB to Reduce Feature Store Costs by 75%
While building a feature store to handle the massive growth of our machine-learning (“ML”) platform, we learned that using a mix of different databases can yield significant gains in efficiency and operational simplicity.
Lifecycle of a Successful ML Product: Reducing Dasher Wait Times
Building an ML-powered delivery platform like DoorDash is a complex undertaking.
How DoorDash Upgraded a Heuristic with ML to Save Thousands of Canceled Orders
One challenge in running our platform is being able to accurately track Merchants’ operational status and ability to receive and fulfill orders.