Search relevance – the relationship between users’ queries and the products returned in search results – is one of the most important performance indicators for ecommerce storefronts. However, the sheer volume of the data makes evaluating and improving search relevance a difficult proposition. To give just one example, the Wayfair catalog has millions of products, which makes it difficult to create relevance-focused evaluation datasets manually.
5 Min Read
Dive into the ways Wayfair’s data scientists are using Vertex AI to improve model productionization, serving, and operational readiness velocity.
6 Min Read
Wayfair works with over 25,000 suppliers to sell more than 30 million products in a variety of styles from classic to contemporary at compelling price points. In order to create a frictionless shopping experience, we need to enable customers to explore our massive catalog efficiently, and find the right products that help them create their unique sense of home.
6 Min Read
To B2B, or not B2B, that is the question.
7 Min Read
Wayfair has tens of millions of products that serve the needs of over 33 million customers. Each of our customers have nuanced preferences as they buy products to help them create their own unique sense of home. Our search and recommender systems play an important role in helping customers find these products as quickly and conveniently as possible.
5 Min Read
According to Colin Gray, a growing number of economists are being drawn to the prospect of carrying out interesting work at technology companies like Wayfair.
4 Min Read
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.”
5 Min Read
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.
4 Min Read
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.
4 Min Read
Style transfer: How Wayfair leverages customer browse activity in one furniture category to inform recommendations for a category they have never shopped before.
2 Min Read
Not everyone wants to speak with someone when they need to set up a return or report an issue with their order. We built an NLP-powered Virtual Assistant to provide our customers a fast and easy option that’s available 24/7 to resolve their service-related issues.
10 Min Read
Images from product reviews can inspire and inform our customers. We created a machine learning model that helps us in prioritizing the most helpful and good looking images on the product page.
7 Min Read