AI Agent
An AI agent pursues a goal with tools and autonomy, the difference between asking about a product and having it bought.
What an AI agent is
An AI agent is software that pursues a goal, not just a prompt: given an objective, it plans steps, uses tools, sites, carts, payment rails, APIs, and acts until the job is done, the difference between asking about a product and having it bought.
Why AI agents matter for ecommerce
Agents change who the store serves: alongside human shoppers come pieces of software shopping on their behalf, comparing, filtering by hard constraints, and completing checkouts, plus agents working inside the business on support, catalog, and ads. A storefront designed purely for human eyes, persuasion in images, information in pictures of text, is illegible to the fastest-growing visitor type it has.
The agent landscape a store meets
- Buying agents: acting for shoppers, from research and price-watching to full checkout
- Support agents: resolving customer issues with authority to act on orders
- Operations agents: inside tools for pricing, catalog, ads, and inventory work
- The common diet: structured data, honest availability, and machine-readable policies
Frequently asked questions
Agent vs chatbot vs assistant: what’s the actual difference?
Autonomy and action: a chatbot answers within a conversation, an assistant recommends and hands back control, an agent executes, planning across steps and using tools until the goal completes. The practical line is whether the software can finish the task without a human clicking each step.
What should a store do about AI agents today?
Become legible before becoming clever: complete product schema, truthful stock and pricing, policies stated in text, and checkout flows that don’t depend on visual persuasion. Agents buy on declared facts and verifiable reputation, which quietly rewards the stores that kept their data honest all along.