AWS Extends Shopping Assistant Agents with seven new features

AWS announced seven new features** for the Agent Purchase Assistant (Agentic Shopping Assistant), aimed at applying AI agents on purchase days. The announcement, published in the AWS industry blog, reinforces the company's strategy of taking intelligent agents out of demonstrations and putting them into production, integrated into platforms such as AgentCore.

Seven new features of the Buy Assistant with AI agents

The number works as a headline: there are seven features announced at once, not an incremental adjustment. The central idea that goes through the package is to take the assistant out of the conversational searcher role — which answers questions — and lead him to the role of agent, which performs purchase steps: locate products, compare alternatives and lead the user to the decision. The individual description of each of the seven features, with examples of use, is in the original post of AWS, which serves as a technical reference for those who implement it.

Why AWS is driving shopping agents now

The ad isn't born isolated. In recent months, AWS has accumulated movements in the same direction: support for open standards for portable agents, as shown by the coverage of AWS supports Agent Plugins: the new open standard for portable AI agents, and practical operating guides with agents and MCP, in IA guide for network operations. On the adoption side, the company had already been reporting scale on Amazon Bedrock, with over 100,000 organizations using the platform, according to AWS itself. E-commerce is a natural ground for this advancement: it is a flow with clear stages, abundant data and measurable return.

How AgentCore integrates with AI agents

The ad differential is less in the wizard himself and more in what he demonstrates about infrastructure. Building an agent who buys involves conversation memory, identity, secure access to tools, execution and observability — just the parts that AgentCore brings together as managed services. The Purchase Wizard works in this arrangement as a showcase: a reference agent that shows retailers and developers what you can mount on the AWS stack without building each component from scratch.

What changes to developers of AI agents in Brazil

For Brazilian retail and product teams, practical reading is scope reduction. Instead of designing the entire orchestration of a purchasing agent, the team can start from managed components and concentrate effort on the catalog, data and business rules. Two points require attention: cost, since the consumption of agents is measured in dollar, and the processing of personal data in recommendations, sensitive theme under LGPD. AWS did not inform in this publication whether the seven resources reach the region of São Paulo (sa-east-1).

What's the announcement about AI agents still not responding

Major details are missing. The publication does not bring general availability dates, does not detail prices per feature, does not present performance metrics of the assistant and does not list participating retail partners. There is also no indication of which of the seven features are in advance and which are already stable. For those who plan to adopt, these are the points to follow in the company's upcoming announcements.

Frequently Asked Questions about AI agents

What is the AWS Agent Shopping Assistant?

It is an assistant based on AI agents, presented by AWS to support e-commerce purchase hours, in which the agent not only answers questions, but performs stages of the purchase process.

How many new features have been announced?

Seven. The announcement brings together seven new features for the wizard, with the description of each available in the original AWS industry blog post.

Can this be used in production in Brazil?

The publication does not inform availability by region or general availability dates. Without this confirmation, it is not possible to state that the resources are accessible to clients in the São Paulo region.