Google Cloud | New Way Now: Wayfair furnishes a new era of developer productivity with Google Cloud's AI @googlecloud | Uploaded 1 week ago | Updated 10 hours ago
๐ฆ๐๐บ๐บ๐ฎ๐ฟ๐: Niraj Nagrani, VP and GM for Consumer and Supplier Technologies at Wayfair, shares how the global home furnishings giant is partnering with Google Cloud to supercharge its technology transformation. Discover how Wayfair is using Google Cloud's AI and ML solutions, including Vertex AI and Gemini, to unlock new levels of developer productivity and accelerate its migration to a modern, cloud-native architecture.
๐๐ต๐ฎ๐น๐น๐ฒ๐ป๐ด๐ฒ: As a data-driven ecommerce leader, Wayfair needed to modernize its legacy technology stack, including migrating from monolithic SQL databases to a more agile and scalable architecture. This complex undertaking required significant developer resources and faced potential delays due to the intricate nature of legacy code.
๐ฆ๐ผ๐น๐๐๐ถ๐ผ๐ป: Wayfair embraced Google Cloud's AI and ML solutions to accelerate its modernization journey. By leveraging Gemini and Vertex AI, Wayfair built and deployed custom models to power key business functions, including product tagging, image optimization, and personalized recommendations. Additionally, Wayfair integrated Gemini into its developer workflows, enabling code generation, analysis, and refactoring at an unprecedented pace. Building on Google Cloudโs highly scalable AI infrastructure also enables Wayfair to scale innovative features like Decorify, an immersive experience that lets shoppers reimagine their spaces and home based on their style preferences using generative AI.
๐ฅ๐ฒ๐๐๐น๐๐: The integration of Google Cloud's AI and ML solutions has resulted in a dramatic increase in developer productivity at Wayfair. By automating complex tasks and providing intelligent code recommendations, Wayfair achieved a 4x increase in the overall speed of its technology transformation. Their database uptime has also improved from 92% to 99.9% in some of its mission-critical services. This accelerated pace of innovation allows Wayfair to bring new features and experiences to its customers faster, solidifying its position as a leader in the competitive home furnishings market.
On the business side, Wayfair is already seeing significant improvements powered by Googleโs AI. A pilot program utilizing conversational AI for sales agents has demonstrated a remarkable 10-20x improvement in average customer call handling time, enabling agents to address more complex queries with greater efficiency. Additionally, Gemini has accelerated product tagging by 4x, leading to a 10% increase in items being attached to online shopping carts in the checkout experience. This dramatic improvement stems from Gemini's ability to rapidly and accurately tag product attributes, making it easier for customers to discover relevant items within Wayfair's vast catalog.
๐๐ ๐๐ต๐ฒ ๐ป๐๐บ๐ฏ๐ฒ๐ฟ๐: ๐จ๐๐ถ๐ป๐ด ๐๐ฒ๐บ๐ถ๐ป๐ถ, ๐ช๐ฎ๐๐ณ๐ฎ๐ถ๐ฟ ๐ฎ๐ฐ๐ต๐ถ๐ฒ๐๐ฒ๐ฑ ๐ฎ๐ฝ๐ฝ๐ฟ๐ผ๐ ๐ถ๐บ๐ฎ๐๐ฒ๐น๐ โฆ
โข 65% uplift in developer productivity for refactoring SQL to GQL, and for simple stored procedure
โข 55% improvement in the time to build boilerplate code
โข 25% faster code refactoring
โข 20% faster code releases
โข 4x faster product tagging
โข 10x increase in items being attached to online shopping carts
๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐ต๐ถ๐ด๐ต๐น๐ถ๐ด๐ต๐๐ ๐ฎ๐ป๐ฑ ๐ธ๐ฒ๐ ๐๐ฎ๐ธ๐ฒ๐ฎ๐๐ฎ๐๐ ๐ณ๐ฟ๐ผ๐บ ๐ผ๐๐ฟ ๐ณ๐๐น๐น ๐ถ๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐๐ถ๐๐ต ๐ก๐ถ๐ฟ๐ฎ๐ท ๐ก๐ฎ๐ด๐ฟ๐ฎ๐ป๐ถ, ๐ฉ๐ฃ ๐ฎ๐ป๐ฑ ๐๐ ๐ผ๐ณ ๐ง๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ ๐ณ๐ผ๐ฟ ๐๐ผ๐ป๐๐๐บ๐ฒ๐ฟ ๐ฎ๐ป๐ฑ ๐ฆ๐๐ฝ๐ฝ๐น๐ถ๐ฒ๐ฟ ๐ง๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ถ๐ฒ๐ ๐ฎ๐ ๐ช๐ฎ๐๐ณ๐ฎ๐ถ๐ฟ:
โ "What used to be long, drawn-out processes โ building, tuning, and training models โ are now significantly faster thanks to Vertex AI and Gemini. We're able to iterate and deploy at scale much more quickly."
โ โMoving to GCP and a decoupled architecture was a game-changer for our infrastructure. Compared to our previous monolithic setup, we now have significantly more stability and availability across multiple zones, ensuring a reliable experience for our customers. Even during peak events like Black Friday and Cyber Monday, we can trust that our infrastructure will remain robust and responsive for our shoppers worldwide.โ
โ โThe biggest thing for us is going to be how do we now leapfrog and understand some of the consumer changing behaviors with respect to multimodal search experience. Imagen will be very critical for us as we think about how we create some of those PDP (product detail page) images and marketing images with velocity at low cost.โ
๐๐ผ๐ผ๐ด๐น๐ฒ ๐๐น๐ผ๐๐ฑ ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ ๐๐๐ฒ๐ฑ: Vertex AI, Gemini, Cloud SQL, Spanner, Bigtable, BigQuery, Bison models
๐๐ฒ๐ฎ๐ฟ๐ป ๐บ๐ผ๐ฟ๐ฒ:
โ How Vertex AI Endpoints helped Wayfair achieve real-time model serving: https://goo.gle/3ZKMfLh
โ Join leaders from Wayfair and Google for a fireside chat on gen AI assistance in software development: https://goo.gle/3Y3sGMF
โ How Wayfair is improving customer experience with Google Cloud NetApp Volumes: https://goo.gle/403ZaYX
๐ฆ๐๐บ๐บ๐ฎ๐ฟ๐: Niraj Nagrani, VP and GM for Consumer and Supplier Technologies at Wayfair, shares how the global home furnishings giant is partnering with Google Cloud to supercharge its technology transformation. Discover how Wayfair is using Google Cloud's AI and ML solutions, including Vertex AI and Gemini, to unlock new levels of developer productivity and accelerate its migration to a modern, cloud-native architecture.
๐๐ต๐ฎ๐น๐น๐ฒ๐ป๐ด๐ฒ: As a data-driven ecommerce leader, Wayfair needed to modernize its legacy technology stack, including migrating from monolithic SQL databases to a more agile and scalable architecture. This complex undertaking required significant developer resources and faced potential delays due to the intricate nature of legacy code.
๐ฆ๐ผ๐น๐๐๐ถ๐ผ๐ป: Wayfair embraced Google Cloud's AI and ML solutions to accelerate its modernization journey. By leveraging Gemini and Vertex AI, Wayfair built and deployed custom models to power key business functions, including product tagging, image optimization, and personalized recommendations. Additionally, Wayfair integrated Gemini into its developer workflows, enabling code generation, analysis, and refactoring at an unprecedented pace. Building on Google Cloudโs highly scalable AI infrastructure also enables Wayfair to scale innovative features like Decorify, an immersive experience that lets shoppers reimagine their spaces and home based on their style preferences using generative AI.
๐ฅ๐ฒ๐๐๐น๐๐: The integration of Google Cloud's AI and ML solutions has resulted in a dramatic increase in developer productivity at Wayfair. By automating complex tasks and providing intelligent code recommendations, Wayfair achieved a 4x increase in the overall speed of its technology transformation. Their database uptime has also improved from 92% to 99.9% in some of its mission-critical services. This accelerated pace of innovation allows Wayfair to bring new features and experiences to its customers faster, solidifying its position as a leader in the competitive home furnishings market.
On the business side, Wayfair is already seeing significant improvements powered by Googleโs AI. A pilot program utilizing conversational AI for sales agents has demonstrated a remarkable 10-20x improvement in average customer call handling time, enabling agents to address more complex queries with greater efficiency. Additionally, Gemini has accelerated product tagging by 4x, leading to a 10% increase in items being attached to online shopping carts in the checkout experience. This dramatic improvement stems from Gemini's ability to rapidly and accurately tag product attributes, making it easier for customers to discover relevant items within Wayfair's vast catalog.
๐๐ ๐๐ต๐ฒ ๐ป๐๐บ๐ฏ๐ฒ๐ฟ๐: ๐จ๐๐ถ๐ป๐ด ๐๐ฒ๐บ๐ถ๐ป๐ถ, ๐ช๐ฎ๐๐ณ๐ฎ๐ถ๐ฟ ๐ฎ๐ฐ๐ต๐ถ๐ฒ๐๐ฒ๐ฑ ๐ฎ๐ฝ๐ฝ๐ฟ๐ผ๐ ๐ถ๐บ๐ฎ๐๐ฒ๐น๐ โฆ
โข 65% uplift in developer productivity for refactoring SQL to GQL, and for simple stored procedure
โข 55% improvement in the time to build boilerplate code
โข 25% faster code refactoring
โข 20% faster code releases
โข 4x faster product tagging
โข 10x increase in items being attached to online shopping carts
๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐ต๐ถ๐ด๐ต๐น๐ถ๐ด๐ต๐๐ ๐ฎ๐ป๐ฑ ๐ธ๐ฒ๐ ๐๐ฎ๐ธ๐ฒ๐ฎ๐๐ฎ๐๐ ๐ณ๐ฟ๐ผ๐บ ๐ผ๐๐ฟ ๐ณ๐๐น๐น ๐ถ๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐๐ถ๐๐ต ๐ก๐ถ๐ฟ๐ฎ๐ท ๐ก๐ฎ๐ด๐ฟ๐ฎ๐ป๐ถ, ๐ฉ๐ฃ ๐ฎ๐ป๐ฑ ๐๐ ๐ผ๐ณ ๐ง๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ ๐ณ๐ผ๐ฟ ๐๐ผ๐ป๐๐๐บ๐ฒ๐ฟ ๐ฎ๐ป๐ฑ ๐ฆ๐๐ฝ๐ฝ๐น๐ถ๐ฒ๐ฟ ๐ง๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ถ๐ฒ๐ ๐ฎ๐ ๐ช๐ฎ๐๐ณ๐ฎ๐ถ๐ฟ:
โ "What used to be long, drawn-out processes โ building, tuning, and training models โ are now significantly faster thanks to Vertex AI and Gemini. We're able to iterate and deploy at scale much more quickly."
โ โMoving to GCP and a decoupled architecture was a game-changer for our infrastructure. Compared to our previous monolithic setup, we now have significantly more stability and availability across multiple zones, ensuring a reliable experience for our customers. Even during peak events like Black Friday and Cyber Monday, we can trust that our infrastructure will remain robust and responsive for our shoppers worldwide.โ
โ โThe biggest thing for us is going to be how do we now leapfrog and understand some of the consumer changing behaviors with respect to multimodal search experience. Imagen will be very critical for us as we think about how we create some of those PDP (product detail page) images and marketing images with velocity at low cost.โ
๐๐ผ๐ผ๐ด๐น๐ฒ ๐๐น๐ผ๐๐ฑ ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ ๐๐๐ฒ๐ฑ: Vertex AI, Gemini, Cloud SQL, Spanner, Bigtable, BigQuery, Bison models
๐๐ฒ๐ฎ๐ฟ๐ป ๐บ๐ผ๐ฟ๐ฒ:
โ How Vertex AI Endpoints helped Wayfair achieve real-time model serving: https://goo.gle/3ZKMfLh
โ Join leaders from Wayfair and Google for a fireside chat on gen AI assistance in software development: https://goo.gle/3Y3sGMF
โ How Wayfair is improving customer experience with Google Cloud NetApp Volumes: https://goo.gle/403ZaYX
