Etsy sellers
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Etsy sellers has 2 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 1 country. Key partners include Mastercard, PayPal, Shopify.
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Hyperscaler mix
See whether Etsy sellers's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Etsy sellers builds AI
Build / Buy / Compose across this company's documented cases
2 of 2 cases classified (100%) · Compare all use-case types
Use case portfolio
Use case types at Etsy sellers
Conversational commerce leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.
Reported outcomes
2 cases report measurable results
+5%
Revenue & growth
median · 3 metrics
+53%
Time & speed
median · 1 metric
Medians of results published in Etsy sellers cases, normalized for comparability. See all benchmarks →
Technology snapshot
What Etsy sellers uses across visible cases
AI Agents appears in 1 of 2 indexed cases; 7 named technologies are mentioned, led by AI Agents.
Technologies mentioned
All Use Cases (2)
Copilot Checkout and Brand Agents in Retail by Microsoft
Microsoft has developed Copilot Checkout and Brand Agents to create seamless conversational shopping experiences for retailers.Copilot Checkout enables customers to shop and purchase without leaving the merchant's site, providing a frictionless journey from discovery to checkout.Brand Agents are AI-powered voice-centric assistants that guide customers on retail websites, enhancing product discovery and purchase confidence.Insights powered by Microsoft Clarity provide merchants with data to optimize AI agent performance.
Etsy personalizes shopper experiences with Vertex AI, BigQuery, and Gemini on Google Cloud
Etsy is a global e-commerce marketplace with over 130 million items from more than 5 million sellers, serving nearly 90 million shoppers worldwide.The business challenge was to scale personalized shopping experiences given the vast and dynamic inventory, while enhancing understanding of buyer intent and improving SEO.Etsy created foundational datasets with Gemini models and leveraged Google Cloud AI technologies such as Vertex AI and BigQuery to deeply understand inventory, customer intent, and individual buyer preferences.They employed multimodal AI using images, videos, and text for enhanced search and discovery, and AI to personalize item recommendations and improve SEO-driven visits.The results included an 80x increase in item listings per theme, a 5% increase in SEO-driven visits, a 3% lift in conversion rates, and nearly 90 million personalized shopping experiences generated.
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