Wayfair Tech Blog

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.

Wayfair Tech Blog

Introducing our Machine Learning and Data Platforms Team

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.

A flowchart showing how general propensity modeling is applied to make marketing decisions for an eligible audience across multiple programs

Wayfair Tech Blog

Building Scalable and Performant Marketing ML Systems at Wayfair

How data scientists at Wayfair build scalable ML systems to programmatically optimize marketing decisions.

Wayfair Tech Blog

Wayfair Marketing: Growth, Personalization and Experimentation at a Massive Scale

Wayfair hasn’t always been a household name, but technology has always been at the center of everything we do. When co-founders Niraj Shah and Steve Conine built our first website, racksandstands.com, they did so with ambitious plans for the future. As they built more than 250 more sites, they used data to understand how best to scale their effort to provide a better shopping experience across various Home categories.

Wayfair Tech Blog

The Road to the Cloud — Part 4: The Tech, Validation and Way Day

In earlier installments we covered how our cloud journey started, talked about testing and validation, and discussed internal processes that positioned us for making rapid iterations and helped to achieve predictable delivery.

Modularization Blog Post Diagram (2).jpg

Wayfair Tech Blog

App Modularization at Wayfair: How we unlocked our code and Android and iOS teams at scale

Why we decided to modularize

Data Scientists can group products with similar materials to enable 3D artists

Wayfair Tech Blog

Machine learning to aid 3D modeling at Wayfair

High-quality lifestyle imagery is core to Wayfair’s ability to merchandise its catalog effectively and help customers shop confidently. Creating lifestyle images through 3D models enables rapid production of product visual merchandising at scale, drives simultaneous reduction in cost and speed to produce imagery, and unlocks new ways (e.g. AR, VR) for customers to engage with products. Early tests show 3D-generated images can provide high quality visual detail of our products and increase conversion rates for flagship brands (main products in Wayfair’s portfolio and to which customers most relate or identify Wayfair). Therefore, producing 3D models quickly and accurately is key to further reducing 3D imagery costs and driving revenue. In this blog, we will introduce how machine learning is utilized to aid 3D modeling at Wayfair.

Wayfair Tech Blog

The Road to the Cloud — Part 3: Streamlining the Workflows

As our journey continues, we have already covered testing at a smaller scale, learning throughout the process, and setting our ambitious goal to move Wayfair Storefront to the cloud!

Flow diagram of recommender model generating recommendations for sponsored ads, pdp abandonment emails, post order emails, retargeting

Wayfair Tech Blog

Two Birds, One Stone: Hedwig, A Random-Walk Based Algorithm for Substitutable and Complementary Furniture Recommendations

At Wayfair, we recommend millions of products across all styles and budgets. Because of the scale of our catalog, we constantly ask ourselves: how can we help our customers find the right products efficiently while discovering exciting complements to fill out their space?