Customer Story | Google Cloud
Google Cloud Modernization at Wayfair Results in 23% Faster Browsing and 30% Less Fraud
Pythian helps Wayfair achieve 23% faster browsing and 30% less fraud through Google Cloud modernization.
Overview
Wayfair Inc., the destination for all things home, aimed to enhance its agility and efficiency by migrating its complex, monolithic database to Google Cloud. This move was essential to support the company's rapid growth and to leverage data more effectively for improved customer experiences. To achieve this, Wayfair sought a partner experienced in cloud migrations and data transformations.
What we did
Pythian partnered with Wayfair to migrate their monolithic database to a microservices architecture on Google Cloud. Leveraging Pythian's expertise in Generative AI and cloud-native services, the project involved:
- Migrating customer data from MS SQL to Cloud SQL for PostgreSQL.
- Developing a GenAI toolkit using Vertex AI for automated code generation, which expedited the migration process.
- Implementing a database-as-a-service (DBaaS) platform for faster provisioning of Spanner instances through a self-service flow.
- Training Wayfair’s IT team on using the new tools and technologies effectively.
Key Outcomes
The project exceeded all established criteria, leading to significant improvements:
- Rapid Feature Deployment: New features can now be released in one day, compared to years before the migration.
- Cost Savings: The migration to Google Cloud resulted in millions of dollars saved over a multi-year spend.
- Enhanced Customer Experience: 16% of customer traffic now enjoys a replatformed experience with 23% faster browsing speeds
- Reduced Incidents and Fraud: The company spends 82% less time on major incidents and has seen a 30% reduction in fraud.
By partnering with Pythian, Wayfair successfully transformed its IT infrastructure, achieving significant operational efficiencies and positioning itself for future growth and innovation.
“Wayfair has thousands of SQL applications and petabytes of data across our architecture. As we thought about modernization and leveraging Google Cloud, we relied on Pythian to be the experts on how to do it from an architectural perspective and then execute with our data team in actually getting it done.”
Matthew Ferrari
Head of Martech, Data and Machine Learning Platforms, and Infrastructure, Wayfair
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