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November 4, 2021
Technical Debt is a part of any software project, but it usually gets forgotten in the never-ending race to add new features. Learn how we created a Code Quality Score to surface Tech Debt as part of our Team Quality Metrics.
November 4, 2021
The following blog outlines how the Database team at Wayfair took a principles based approach to transforming how our Engineers interact with and manage their database infrastructure; moving from a largely operational world to one that is characterized by choice and autonomy.
October 29, 2021
Some experiments at Wayfair can last 60 days or more. To speed up learning in experiments while still optimizing for long term rewards, our team developed a data science platform called Demeter, that uses ML models to forecast longer term KPIs based on customer activity in the short term. In this post we provide an overview for Demeter and its theoretical foundation in causal inference
October 28, 2021
October is National Cybersecurity Awareness month, and Wayfair believes security education and awareness is a critical component of our overall security program. This blog will outline how Wayfair’s Cybersecurity Awareness Program educates employees on how to act securely in the workplace and in their personal lives.
October 14, 2021
How our microservice governance layer helped us survive a crazy data center outage
October 11, 2021
Wayfair today announced that it has received a Google Cloud Retail Customer Award. This award was presented at the global digital experience, Google Cloud Next ’21, on October 12.
October 7, 2021
We’ve designed and developed a scalable algorithmic decision-making platform called WayLift for paid media marketing. In this blog post, we will provide an overview of the theoretical foundation of WayLift — the contextual bandit algorithms for optimizing marketing decisions.
October 1, 2021
We are all too familiar with the unpleasant experience of a native app crash. You’re happily playing your favorite game, queuing up the next video, researching the next piece of furniture to buy (hint: Wayfair may help!) when all of the sudden, POOF! The app is gone and you’re back to your phone’s home screen. Those who are less technically inclined might not even know that this was an app crash, or worse, they may think that somehow their actions were responsible for the un-magical disappearing act. Android is slightly more helpful: after a crash, the user is presented with a dialog that tells them that unfortunately, their favorite app has stopped. Unfortunate, indeed. But just how unfortunate? This post explores the return on investment for fixing crashes. Keep reading to learn what we learned.
September 28, 2021
Out of  a zillion options, customers want to find the one item perfect for them. The recommendations team makes that happen by leveraging advanced machine learning techniques and our immense datasets to provide ever improving recommendations. A key step in this process is experimentation, i.e. the design, launch and analysis of A/B tests to understand which algorithm provides the best customer experience. This blog post describes a simulation tool our Analytics team has built and used prior to every test launch. This tool has improved our test success rate and testing velocity dramatically, and led to new insights/improvements of our recommendations.