Agent-to-Agent Commerce
Commerce transactions conducted entirely between AI agents without human involvement, also known as A2A commerce.
View definitionDefinitions, concepts, and infrastructure for understanding how AI shopping agents, autonomous buying, and commerce orchestration are reshaping retail.
This glossary is built for brands, agencies, operators, and commerce platforms that need a shared language for the next interface layer. Each entry is designed to be clear enough for fast reference and structured enough to support search, AI citations, and deeper internal linking across the site.
New to agentic commerce? These five terms explain the shift from AI-assisted shopping to delegated, machine-mediated buying.
Shopping powered by AI agents acting autonomously on behalf of consumers or businesses to anticipate needs, navigate options, and execute transactions.
An autonomous AI system that acts as a personal shopper, understanding preferences, comparing options, and making purchase recommendations or decisions.
A platform where AI shopping agents are bought, sold, customized, or selected by consumers and businesses based on specializations and ratings.
An AI agent with full decision-making authority to make purchases without requiring explicit approval for each transaction.
The coordination of multiple specialized AI agents working together to complete complex shopping tasks more effectively than single agents.
Foundational ideas that define how agentic commerce works and how autonomous buying changes digital retail.
Commerce transactions conducted entirely between AI agents without human involvement, also known as A2A commerce.
View definitionShopping powered by AI agents acting autonomously on behalf of consumers or businesses to anticipate needs, navigate options, and execute transactions.
View definitionA shopping experience where purchases are completed with minimal or no manual user interaction, handled entirely by AI agents.
View definitionThe agent roles and user interaction models shaping how shoppers and businesses delegate commerce tasks.
An AI assistant providing comprehensive, personalized shopping guidance throughout the entire customer journey with memory across sessions.
View definitionAn autonomous AI system that acts as a personal shopper, understanding preferences, comparing options, and making purchase recommendations or decisions.
View definitionAn AI agent with full decision-making authority to make purchases without requiring explicit approval for each transaction.
View definitionCommerce conducted through two-way conversations with AI-powered chatbots, messaging apps, and voice assistants.
View definitionHuman-in-the-loop means an AI workflow includes a person at key decision points. In ecommerce, it helps teams use automation while keeping human approval for risky, expensive, or customer-sensitive actions.
View definitionThe ability to search, discover, and purchase products using conversational natural language rather than keywords or filters.
View definitionThe systems, platforms, and architectural layers that let commerce agents discover products and complete work safely.
An agent card is a structured description of an agent's capabilities, tasks, identity, and constraints. In retail, it helps other agents and systems decide whether that agent can be trusted for a specific commerce workflow.
View definitionAgent discovery is the process of finding the right agent, tool, or service for a task. In ecommerce, it helps shopping and operations agents locate the right specialist systems, merchant endpoints, or partner agents.
View definitionA platform where AI shopping agents are bought, sold, customized, or selected by consumers and businesses based on specializations and ratings.
View definitionThe coordination of multiple specialized AI agents working together to complete complex shopping tasks more effectively than single agents.
View definitionThe Agent-to-Agent Protocol (A2A) is a standard for how AI agents discover one another, exchange structured tasks, and collaborate securely across systems. In ecommerce, it helps shopping, support, logistics, and payments agents work together across platforms.
View definitionThe Agentic Commerce Protocol (ACP) is a standard for how AI agents initiate and complete checkout sessions with merchants programmatically. It gives agent-led buying a structured handoff into merchant checkout systems.
View definitionAn agentic product protocol structures product and offer data so AI agents can discover, understand, compare, and recommend items reliably. It makes catalog information more usable for machine-led commerce.
View definitionA development approach where commerce functionality is built primarily as APIs for consumption by any frontend, application, or AI agent.
View definitionE-commerce architecture decoupling frontend from backend, enabling AI agents to interact directly with commerce engines via APIs.
View definitionA merchant feed is a structured dataset that describes merchant-level commerce information such as pricing, availability, delivery, and policy signals. It helps shopping and AI systems evaluate a retailer as well as its products.
View definitionThe Model Context Protocol (MCP) is a standard way for AI agents to connect to tools, data sources, and applications. In ecommerce, it helps agents access catalogs, inventory, policies, and other commerce systems in a consistent format.
View definitionAn offer entity is the normalized representation of the commercial terms attached to a product, such as price, seller, availability, and delivery conditions. It helps AI systems compare how a product can be bought, not just what it is.
View definitionA product entity is the normalized representation of a product as a distinct object with stable identity and attributes. It helps AI systems understand what the product is beyond raw page text.
View definitionA product feed is a structured export of catalog data used by shopping platforms, marketplaces, and other external systems. In ecommerce, it is often the first machine-readable layer that helps AI systems understand products.
View definitionInfrastructure and developer tools enabling creation, deployment, and management of AI shopping agents with standardized protocols.
View definitionStructured data is machine-readable markup or normalized data that describes entities and attributes in a consistent format. In ecommerce, it helps search engines and AI systems understand products, offers, policies, and merchant information.
View definitionTool calling is when an AI agent invokes an external tool, API, or function during a workflow. In ecommerce, it allows assistants to check inventory, retrieve product data, create carts, or perform other live commerce actions.
View definitionThe Universal Commerce Protocol (UCP) is an open standard for coordinating more of the shopping journey across platforms, from discovery through checkout. In retail, it aims to make AI-assisted shopping more interoperable across merchants and systems.
View definitionTerms related to purchase authority, checkout automation, and transaction execution in agent-mediated commerce.
The Agent Payments Protocol (AP2) is a framework for how AI agents can make payments securely on behalf of users. In ecommerce, it helps define mandates, permissions, and audit trails for agent-initiated transactions.
View definitionThe capability of AI systems to complete purchase transactions independently, from product selection through payment, within predefined rules.
View definitionCheckout readiness is how prepared a merchant's purchase flow is for low-friction buying by humans and AI-assisted systems. It includes payment clarity, delivery transparency, and the overall ease of completing a transaction.
View definitionA digital mandate is a machine-readable authorization that defines what an AI agent is allowed to do on behalf of a user or business. In commerce, it can set limits on spend, merchants, categories, and approval rules.
View definitionInstant checkout is a purchase flow designed to reduce the steps between decision and transaction. In agentic commerce, it helps assistants move from recommendation to purchase with minimal friction.
View definitionThe use of AI and rules-based systems to execute complete purchase transactions automatically from need detection to delivery confirmation.
View definitionThe predictive, contextual, and merchandising capabilities that make commerce agents useful in day-to-day retail.
Catalog enrichment is the process of improving product data with clearer attributes, descriptions, variants, and supporting details. In retail, it makes products easier for both shoppers and AI systems to understand and compare.
View definitionCitation visibility is the likelihood that a brand, merchant, or page will be referenced by an AI system in an answer. In ecommerce, it affects whether a merchant is seen, trusted, and quoted in AI-driven discovery.
View definitionShopping experiences that adapt in real-time based on location, time, device, recent activity, mood, and immediate needs.
View definitionAI capability to anticipate customer needs and shopping intent before explicit expression, analyzing patterns and contextual signals.
View definitionLLM optimization is the practice of making content and commerce data easier for large language models to retrieve, interpret, summarize, and cite. In ecommerce, it helps brands become easier for AI systems to understand and recommend.
View definitionMerchant trust signals are the cues that help shoppers and AI systems judge whether a retailer is credible and safe to buy from. They include reviews, policy clarity, shipping transparency, and other proof of reliability.
View definitionAI-driven commerce where purchases are anticipated and facilitated before the customer consciously decides to buy.
View definitionAI-initiated shopping experiences where the system identifies needs and takes action before the customer requests help.
View definitionAn AI-powered shopping cart that suggests complementary products, optimizes deals, predicts forgotten items, and automates savings.
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