This article is part of our "Sustainable Suppliers" series, a collection of ongoing conversations with our supplier partners who are doing their part to create a more sustainable future for our planet.

September 15 through October 15 is Hispanic Heritage Month in the United States, an opportunity to celebrate the history, culture, and achievements of the Latinx and Hispanic communities. Stephanie Rivera Ortiz is one of the leaders of Latinx@Wayfair, an Employee Resource Group (ERG) for Latinx employees at Wayfair. We spoke to Stephanie about what Hispanic Heritage Month means to her and how everyone can get involved.

How our microservice governance layer helped us survive a crazy data center outage

This article is part of our "Sustainable Suppliers" series, a collection of ongoing conversations with our supplier partners who are doing their part to create a more sustainable future for our planet.

At Wayfair, members of our award-winning customer service team understand that the customer’s experience is more than just a phone call – it takes compassion, empathy, and a desire to deliver the best experience possible, every step of the way. From October 4-8, Wayfair celebrated Customer Service Appreciation Week by speaking with five of our customer service consultants across the company, from Berlin to Oregon, Utah, and Galway, about who they are and what customer service means to them.

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.

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.

When shopping for your home - it's personal. Home is where we unwind after a long day, where we spend quality time with family and friends. It’s where we play, entertain and, for many of us, it’s where we work. At Wayfair, we are focused on giving everyone the power to create spaces that are just right for them, and our award-winning Customer Service team plays an essential role in that. From sharing specialized product expertise for a home improvement project, or providing a delivery update for a much-anticipated crib, to being there to make it right if things go wrong, our team supports our customers every step of the way.

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.

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.