The Evolution of AI Agents in E-Commerce: From Chatbots to Autonomous Transactions

Most AI solutions in e-commerce today are still rule-based chatbots. The next step — intelligent assistants powered by RAG and function calling, capable of working with product catalogs and guiding buyers through purchases in a conversation — is gaining traction but remains far from mainstream adoption. And on the horizon, a third model is already taking shape: fully agentic commerce, where a buyer's AI agent independently discovers, compares, and purchases products without ever visiting a store's website. What makes this shift possible is open source. The entire infrastructure for agentic commerce is being built on open standards and protocols licensed under Apache 2.0. First came universal protocols — Anthropic's MCP for agent-to-service interaction and Google's A2A for agent-to-agent communication. Then, specialized commerce protocols emerged on top of them: Google's UCP backed by Shopify, Stripe, Visa, and 20+ partners, and OpenAI's ACP co-developed with Stripe. All open source. All community-governed. In this talk, we'll explore where the industry currently stands on this evolutionary ladder, how the approaches of key players differ, why they chose open source as the foundation for commercial infrastructure, which early experiments have already failed — and what sellers and developers should be doing today to prepare for a world where the storefront is a context window.