Setup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
A global commerce platform supports millions of businesses across 175 countries, providing infrastructure for entrepreneurs and enterprise brands to sell online and in-store.
Merchants, particularly new entrepreneurs, often faced weeks of delay in achieving their first sale due to the complexity of data analysis and store...
“The combination of Claude and Vertex AI helps us empower millions of merchants with our AI-enabled commerce assistant, Sidekick. There’s been a lot of merchants that we’ve talked to that say Sidekick ‘feels like a lifeline for small businesses’ and helps them ‘come out on top’.”
Shopify's Merchant business assistant is part of this use case:
E-commerce and point-of-sale platform for businesses of all sizes.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Context-blind prompts slowed development. An AI agent now reasons across the full codebase to plan and execute complex tasks instantly.
Internal tools sat in backlogs for months. Now, non-technical teams build functional apps in 1-2 hours using natural language prompts.
Internal app builds took three months. Now, non-technical staff generate custom tools in 1-2 hours using natural language prompts.
Building agents took weeks on pricey models. Switching to Gemini cut costs 10x, letting clients deploy them in hours.
Isolating data for 50,000 clients was operationally impossible. Multi-tenancy now serves 6.1M queries from a single instance.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Setup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
A global commerce platform supports millions of businesses across 175 countries, providing infrastructure for entrepreneurs and enterprise brands to sell online and in-store.
Merchants, particularly new entrepreneurs, often faced weeks of delay in achieving their first sale due to the complexity of data analysis and store...
“The combination of Claude and Vertex AI helps us empower millions of merchants with our AI-enabled commerce assistant, Sidekick. There’s been a lot of merchants that we’ve talked to that say Sidekick ‘feels like a lifeline for small businesses’ and helps them ‘come out on top’.”
Shopify's Merchant business assistant is part of this use case:
E-commerce and point-of-sale platform for businesses of all sizes.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Context-blind prompts slowed development. An AI agent now reasons across the full codebase to plan and execute complex tasks instantly.
Internal tools sat in backlogs for months. Now, non-technical teams build functional apps in 1-2 hours using natural language prompts.
Internal app builds took three months. Now, non-technical staff generate custom tools in 1-2 hours using natural language prompts.
Building agents took weeks on pricey models. Switching to Gemini cut costs 10x, letting clients deploy them in hours.
Isolating data for 50,000 clients was operationally impossible. Multi-tenancy now serves 6.1M queries from a single instance.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.