What is agentic commerce?
Artificial intelligence has ceased to be merely a tool for answering questions, becoming a "always-on" showcase and point of sale. Every day, millions of people interact with AI assistants and chats to discover products, plan purchases, and, increasingly, to buy directly.
This phenomenon is known as agentic commerce.
What does it consist of?
It consists of transforming any conversational interface—from a chatbot to an AI-powered search engine—into a sales channel. We are no longer talking about "going to an online store," but about buying in the same place where the intention arises, that is, in a conversation. It's the shift from "click-to-cart" to "converse-to-buy," also called conversational commerce 2.0.
Why now? The impulse of giants and technological maturity
This change is being driven by Google, Shopify, and Microsoft, who are leading the transition with strategic alliances and new technologies. At the same time, the maturity of LLMs, multi-agent orchestration, first-party data, and embedded checkouts enable frictionless shopping experiences, "zero-click checkout," and a channel-agnostic "universal cart."
Universal Commerce Protocol (UCP): open and interoperable standard
During the National Retail Federation 2026, the Universal Commerce Protocol (UCP) was presented, an open standard developed by Shopify and Google that allows AI agents to connect with any merchant and manage the entire purchasing process: from product discovery to payment, without leaving the chat. UCP aims for an API-first and "privacy-by-design" ecosystem: real-time inventory, enriched catalogs (attributes, verified reviews), tokenized identity and payments, and an embedded checkout that works in assistants, search engines, and "shoppable chat."
Shopify's Agentic Plan: "AI-first" access and distribution
The Agentic Plan, for its part, is a Shopify initiative to democratize access to agentic commerce. It allows any brand—even companies that do not have a Shopify store—to list their products in Shopify Catalog and sell on AI channels like ChatGPT, Copilot, or Gemini, thanks to Agentic Storefronts. It is a fast track to "AI-native" distribution that coexists with headless and composable commerce architectures and simplifies the syndication of feeds, prices, and availability to multiple agents.
In this way, commerce goes where the conversation happens, and not the other way around as it has been until now.
Benefits for the consumer: personalization and frictionless shopping
For consumers, the experience will be more intuitive and personalized, as assistants will be able to find options, "co-shop" with the user, optimize price/value with contextual data, automatically apply coupons and promotions, and offer the possibility to close the purchase without leaving the conversation (one-click/zero-click checkout, wallets, and embedded payments).
Microsoft: Copilot Checkout and Brand Agents
In addition to Google and Shopify, Microsoft is also betting heavily on agentic commerce.
Its Copilot assistant includes Copilot Checkout, a feature that allows purchases to be completed directly in the conversation, without leaving the AI flow, thanks to the connection with platforms like Shopify via UCP.
It also introduces Brand Agents, personalized conversational agents for brands within Copilot. These agents can answer questions, recommend products, and facilitate purchases, creating more personalized and contextual experiences. They integrate with catalogs via standardized schema, enable "shoppable recommendations," and can activate retail media campaigns within the assistant itself with attributable measurement.
Implications for brands: from the web to the "intent stream"
We can affirm that we are facing an evolution that redefines eCommerce, and brands must prepare to sell where the conversation happens. The focus shifts from optimizing pages to optimizing signals: clean product data, dynamic availability, clear policies, and post-sales service orchestrated by agents.
Strategic and technological collaboration between marketing, IT, and operations departments will be more necessary than ever. Key tactical points:
- Catalog and data: normalized feeds, rich taxonomy, AI-ready images/videos, structured content (schema.org).
- Real-time pricing and stock: reliable APIs, SLAs, and promotion rules usable by agents.
- Measurement and attribution: cross-channel traceability, incrementality, and consent management.
- Privacy and trust: first-party/zero-party data, compliance, and verified reviews.
Where does Upango fit in?
And that's where Upango develops our services. We help prepare catalogs for agents (data readiness), implement UCP/embedded checkout, design Brand Agents, and activate distribution in AI channels with governance, measurement, and performance.