Data Science

September 13, 2022
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
September 1, 2022
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
July 14, 2022
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
May 31, 2022
Wayfair and its subsidiary brands operate globally and we send out millions of marketing emails every day to communicate with our customers. To improve customer satisfaction and increase customer engagement, we have developed a new generation of daily sales email models (Nightingale) to make email sending decisions. The Nightingale model is built via a scalable retraining pipeline to serve different business needs across all regions and brands.
10 Min Read
May 17, 2022
Today, many companies rely heavily on third-party event tracking platforms for collecting event data. Perhaps the most well-known of these is Google Analytics. However, at Wayfair, we chose to go another route, largely eschewing the third-party vendor model to develop our own first-party event tracking platform. It’s called Scribe.
5 Min Read
April 26, 2022
The Time Informed Calibration process extends the capabilities of Wayfair’s customer models by converting raw model output to realistic probabilities and incorporating information on expected trends.
9 Min Read
April 14, 2022
I recently had the honor of speaking at EmTech Digital, MIT Technology Review’s signature conference on artificial intelligence (AI) and business leadership. This isn’t my first time speaking at the conference, but it is my first time doing it in person.
3 Min Read
April 5, 2022
As a technology company, Wayfair encourages all team members to roll up their sleeves and innovate. We take immense pride in how our work impacts customers and contributes to the business’s success. We also derive great satisfaction when a team member is recognized by the larger technology community.
2 Min Read
April 4, 2022
Suppliers are an integral part of Wayfair, and providing them with real-time and high-quality data with flexibility is important for our mission. Today I’m going to highlight two specific areas: how Wayfair is leveraging real-time data to provide suppliers with up-to-date sales information and how our team has tackled some of the problems that emerged along the journey.
9 Min Read
March 29, 2022
Every day, Wayfair customers sift through more than 33 million items. Their goal? To find the perfect items to create a home they love. It’s not a grueling and stressful search, and their success isn’t the result of good luck. It’s the byproduct of a technology team committed to enhancing the customer experience through cutting-edge solutions.
5 Min Read
March 22, 2022
Machine learning (ML) profoundly transformed the digital shopping experience for millions of people worldwide. We’ve seen this at Wayfair, where our teams are continuously delivering intelligent and improved experiences for our customers by integrating ML at every stage of their journey with us. Right now Wayfair is leveraging hundreds of ML applications, which on the outside are improving marketing campaigns, improving the visual merchandising of the products we sell, personalizing product recommendations, enabling high-quality customer service, and more.
6 Min Read
March 17, 2022
I’m excited to share that today INFORMS announced Wayfair received the 2022 INFORMS Prize, which recognizes businesses for their “sustained and enduring achievement and success of utilizing Operations Research (O.R.) and analytics into our organizational decision making.”
2 Min Read