The Emerging Architecture of AI-Driven Shopping

The commerce ecosystem is undergoing a fundamental shift with the rise of agentic shopping. Instead of one protocol dominating, we’re seeing a layered architecture emerge—similar to how the internet functions today.

Key Protocols in Agentic Commerce

• Anthropic’s Model Context Protocol (MCP): Enables AI systems to access external tools and data like inventory and pricing
• Google’s Agent2Agent (A2A): Facilitates communication between independent AI agents
• OpenAI & Stripe’s Agent Commerce Protocol (ACP): Connects merchants with consumers shopping through AI interfaces
• Google & Shopify’s Universal Commerce Protocol (UCP): Covers a broader commerce workflow including identity, checkout, and order management
• Visa’s Trusted Agent Protocol (TAP): Helps verify agent identities for merchants
• Mastercard’s Agent Pay: Extends payment infrastructure to agent-mediated transactions

Implications for Merchants

Rather than viewing these as competing standards, businesses should focus on:

• Ensuring compatibility across multiple AI platforms
• Establishing clear authorization frameworks for delegated purchasing
• Verifying the identity and intent of agents accessing their systems
• Supporting both product discovery and secure payment processing

The transition to agentic commerce requires a shift in perspective—from managing transactions to managing relationships between businesses, consumers, and increasingly autonomous AI shopping assistants.