Wayfair Tech Blog

Testing is the critical part of software development. Unit testing is usually where it starts. That’s because it is quick and easy to get started and builds the safeguard to protect the future code changes to ensure they are inline with the corner cases. It is also much easier to maintain. The biggest advantage of unit tests comes from forcing the developers to write modularized and testable code.

Wayfair Tech Blog

How Wayfair’s Design System Empowers Feature Teams to Dream Bigger

(This article originally appeared on Medium)

Wayfair Tech Blog

Wayfair’s New Approach to Aspect Based Sentiment Analysis Helps Customers Easily Find “Long Tail” Products

Over thirty million customers from around the world shop on Wayfair to look for furniture that helps them create their unique sense of home. Wayfair serves a variety of webpages catered to niche customer sub-segments and help customers discover new products – these include pages with advice for people buying “twin futons,” or “nursery chairs with removable cushions.”

Wayfair Tech Blog

How Wayfair Uses Feature Toggles to Deliver Business Value

Feature Toggles (sometimes referred to as Feature Flags) have revolutionized software development by allowing features within a software product to be enabled individually or disabled at any point, even after they’ve been rolled out to customers. Feature Toggles at Wayfair boost productivity and provide teams with complete control over when and how to make new capabilities available to end users.

Wayfair Tech Blog

Wayfair Intern Shima Dezfulian: Everyone Here Wants to See You Succeed

Like many interns at Wayfair, Shima Dezfulian works on projects that have a high impact on the company’s operations. More specifically, Dezfulian is part of a Wayfair’s finance and algorithms team that leverages machine learning to make predictions about Wayfair’s profitability.

Wayfair Tech Blog

How supply chain perspectives influence customer demand at Wayfair

As with many e-commerce companies, recommender systems are widely used at Wayfair to show the most relevant products to customers at every stage of their shopping journey. Machine learning models used in recommender systems typically optimize for metrics related to customer satisfaction: actions such as clicks, conversions and Add-to-Cart. My talk at the 2022 Annual Meeting of the Institute for Operations Research and the Management Sciences (INFORMS) was related to how Wayfair is utilizing inputs from our supply chain to influence the products we showcase to consumers as they search and browse our storefront.

Wayfair Tech Blog

Utilizing Piecewise Linear Approximations – With a Twist – to Make Supply Chain Decisions

The annual conference for the Institute for Operations Research and the Management Sciences (INFORMS) brings together professionals and experts from the industry and academia. At INFORMS 2022, I will be giving a presentation on Global Network Optimization (GNO), which is an ongoing project carried out by Wayfair’s operations research team.

Wayfair Tech Blog

The Wayfair Forecast Calls for Google Cloud and Clear Skies Ahead

On Tuesday October 11, 2022 Google announced in a press release that Wayfair completed the migration of all our data center applications and services to Google Cloud Platform (GCP). This was a significant move that will provide huge benefits, enabling us to increase agility, technical innovation, and more. You can read the full press release [here].

Wayfair Tech Blog

How Wayfair leader Alex Maclinovsky draws on the sciences to make technology decisions

“My job involves making highly business critical technical decisions,” says Alex Maclinovsky. “In my role, I have to go through a large number of technical documents, presentations and make a lot of time-sensitive decisions.”