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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.
September 28, 2021
The Open Source Program Office is a developing initiative at Wayfair. Our mission is to solve technical problems collaboratively through the creation of, contribution to, and continued use of solutions expressed as open source software (OSS).
September 10, 2021
When a Wayfair customer shops for a product that is just right for her home, color plays a big role. For example, a customer might say, “I am looking for a green chair.” Or she might say, “I am looking for a teal chair.” There may be various versions of these customer color search stories. As data scientists at Wayfair, we want to solve these customer problems by algorithmically extracting the color information from the products and assigning customer-friendly color names.
August 23, 2021
The Case for Module Federation in Partner Home
August 19, 2021
In this blog post, you’ll get an inside look at our Wayfair CastleGate Logistics team which develops and designs the technology that enables us to get over 22 million products from the manufacturer to our customers’ homes. This will be the first in a series of posts focused on our Logistics Tech team, providing an insight into our challenges, what drives/motivates us, and how we work at Wayfair! Follow along to learn more about what it’s like to work at Wayfair!
August 19, 2021
When you think "Kubernetes," the first word that comes to mind probably isn't "frontend." Here at Wayfair our frontend infrastructure is heavily integrated with Kubernetes, including a toolkit that generates frontend apps with Kubernetes integration out of the box.
August 11, 2021
If you are among the tens of millions of customers who have shopped at Wayfair, you have experienced one of the many technologies built by the Machine Learning and Data Platforms team. We serve the business, engineering and data science teams across Wayfair, who are working on solving one of the most intriguing and gratifying challenges — helping our customers make their dream home a reality.
July 30, 2021
How data scientists at Wayfair build scalable ML systems to programmatically optimize marketing decisions.