앤스로픽이 Claude 기반으로 쇼핑·판매자 에이전트를 빠르게 구축할 수 있는 '커머스 에이전트 청사진'을 공개했습니다. 샵파이, 프라이스라인 등 대형 기업들이 이미 Claude 기반 쇼핑 에이전트를 운영하며 장바구니 크기 최대 35% 증가, 구매 완료율 60% 향상 효과를 봤다고 합니다. 청사진에는 참조 구현, 가드레일, Claude Code 플러그인이 포함되어 며칠 만에 상용 에이전트를 배포할 수 있습니다.
번역된 본문
클로드로 상거래 에이전트 구축하기
Claude에서 쇼핑 에이전트를 운영하는 리테일러들은 장바구니가 최대 35% 커지고, 구매를 완료할 확률이 60% 높아지는 효과를 봤습니다.
유형: 제품 발표 / 에이전트
제품: Claude Platform
날짜: 2026년 9월 2일
읽는 시간: 5분
전 세계 최대 규모의 리테일러, 마켓플레이스, 이커머스 플랫폼, 여행사들이 Claude를 활용해 쇼핑을 더 쉽게 만들어주는 에이전트를 구축하고 있습니다. Shopify, Priceline 등 엔터프라이즈 고객들은 소비자가 일상 언어로 원하는 것을 AI에게 검색하고, 찾고, 비교하고, 구매할 수 있는 에이전트를 보유하고 있습니다.
오늘 우리는 Claude 위에 상거래 에이전트를 구축하는 데 도움이 되는 청사진(blueprint)을 출시합니다. 여기에는 엔지니어링 팀이 며칠 만에 상거래 에이전트를 가동하는 데 필요한 하네스(harness), 패턴, 가드레일이 포함되어 있으며, 리테일·여행·통신·티케팅 플랫폼용 쇼핑 에이전트와 판매자(merchant) 에이전트의 참조 구현도 담겨 있습니다. 시작할 수 있는 Claude Code 플러그인도 포함되어 있습니다. 코드는 Claude API, Amazon Bedrock, Microsoft Foundry, Google Cloud Vertex AI 등 이미 Claude로 빌드하는 환경 어디서든 배포할 수 있습니다. Accenture, Mastercard, Visa 등 솔루션·생태계 파트너와 협력할 수도 있으며, 이들은 고객과 판매자 커뮤니티가 청사진을 활용할 수 있도록 함께 일하고 있습니다.
오늘부터 이용 가능하며, 각 산업별 라이브 데모와 구축 방식에 대한 엔지니어링 심층 분석도 제공됩니다. 명절 시즌 계획에 딱 맞는 시점입니다.
청사진에 포함된 것들
저장소(repository)에는 Messages API, Agent SDK 또는 Claude Managed Agents(베타)로 빌드할 수 있는 쇼핑 에이전트와 판매자 에이전트의 완전하고 작동하는 구현이 포함되어 있습니다. 코드를 작성하기 전에 셀프 가이드 데모에서 작동하는 모습을 확인한 뒤, Claude Code로 자신의 카탈로그, 정책, 브랜드 등에 맞게 커스터마이징할 수 있습니다.
쇼핑 에이전트
쇼핑 에이전트는 앱이나 웹사이트 안에 살아 있습니다. 청사진에는 카탈로그, 장바구니, 결제, 고객 선호도, 주문 이력과의 통합 지점이 포함되어 있으며, 결제는 기존 결제 시스템이든 에이전트 결제 제공자든 여러분에게 맡깁니다.
고객이 "주말에 아이 둘과 여행 가는데 텐트, 침낭, 버너가 필요해"라고 말하면 에이전트가 나머지를 처리합니다. 할 수 있는 일은 다음과 같습니다:
카탈로그를 검색하고 다중 품목 요청을 포함해 알맞은 상품 세트를 구성합니다.
고객의 선호도를 기억하고 제안을 맞춤화합니다.
제품, 비교, 장바구니를 단순 텍스트가 아니라 대화 안에서 보여줍니다.
장바구니를 구성하고 결제로 넘깁니다.
주문 위치, 반품·교환 방법, 환불 정책 등 고객 서비스 질문에도 같은 대화에서 답하고, 고객을 지원 페이지로 보내지 않습니다.
이 에이전트는 가격과 상품을 실제 카탈로그 데이터로 제한하고 조작적인 업셀(uppsell) 패턴을 피하도록 설계된 가드레일을 갖추고 있습니다. 저장소에서 이러한 기능은 카탈로그 검색, 다중 품목 계획, 심층 리서치, 개인화, 고객 케어, 대화 내 UI를 위한 스킬과 도구로 제공됩니다.
판매자 에이전트
판매자 에이전트는 매장을 운영하는 사람을 지원합니다. 사용자가 "지난 시즌 재고를 소진하려면 뭘 할인해야 할까?"라고 물으면 자신의 데이터에 기반한 답을 얻을 수 있습니다. 할 수 있는 일은 다음과 같습니다:
뭘 잘 팔리고 뭘 안 팔리는지 같은 판매 실적 질문에 답합니다.
재고를 추적하고 프로모션 시작 전 품절 임박 상품처럼 문제를 사전에 알립니다.
매장 자체의 판매 이력에 기반해 가격과 프로모션을 추천합니다.
팔아야 할 제품을 팔아내기 위한 마케팅 캠페인 초안을 작성합니다.
에이전트가 변경을 사전 제안하면 사람이 승인한 뒤에야 반영되므로, 에이전트가 매장을 지켜보는 동안 사용자가 최종 결정권을 갖습니다. 저장소에서 이러한 기능은 판매 분석, 카탈로그·재고 관리, 마케팅·프로모션을 위한 스킬로 제공됩니다.
Building commerce agents with Claude Retailers running shopping agents on Claude have seen carts up to 35% larger and shoppers 60% more likely to complete a purchase. Category Product announcements Agents Product Claude Platform Date September 2, 2026 Reading time 5 min Share Copy link https://claude.com/blog/claude-for-commerce-agents Many of the world’s largest retailers, marketplaces, e-commerce platforms, and travel companies use Claude to build agents that make shopping easier. Enterprise customers like Shopify, Priceline, and others have agents that let consumers use AI to search for what they want in plain language, find it, compare it, and buy it. Today, we're launching a blueprint to help build commerce agents on Claude. It contains the harnesses, patterns, and guardrails an engineering team needs to get a commerce agent running in days, with reference implementations of a shopping agent and a merchant agent for retail, travel, telecom, and ticketing platforms. It also includes a Claude Code plugin to get you started. The code deploys where you already build with Claude, including the Claude API, Amazon Bedrock, Microsoft Foundry, or Google Cloud Vertex AI. You can also work with our solutions and ecosystem partners such as Accenture, Mastercard, and Visa, who are working with us to enable clients and merchant communities to leverage the blueprints. It’s available today , with live demos for each vertical and an engineering deep-dive on how it was built, just in time for holiday season planning. What's in the blueprint The repository contains complete, working implementations of a shopping agent and merchant agent that can be built using the Messages API , Agent SDK , or Claude Managed Agents (beta). You can see them running in a self-guided demo before writing any code, and then work with Claude Code to customize them to your catalogs, policies, brand, and more. The shopping agent The shopping agent lives inside your app or website. The blueprint includes the integration points for catalog, cart, checkout, customer preferences, and order history, and leaves payment to you, whether that is your existing checkout or an agentic payments provider. A customer can say “I need a tent, sleeping bag, and stove for a weekend trip with two kids,” and the agent can take it from there. Here’s what it can do: Search the catalog and assemble the right set of items, including multi-item requests. Remember the customer's preferences and tailor what it suggests. Show products, comparisons, and the cart right in the conversation, not just as text. Build the cart and hand it to checkout. Answer customer service questions in the same conversation, like where an order is, how to return or exchange an item, and what the refund policy says, instead of sending the customer to a support page. The agent features guardrails designed to constrain prices and products to actual catalog data, and avoids manipulative upsell patterns. In the repository, these are skills and tools for catalog search, multi-item planning, deep research, personalization, customer care, and in-conversation UI. The merchant agent The merchant agent supports the people running the store. A user can ask “what should we discount to clear last season’s inventory?” and get an answer based on their own data. Here’s what it can do: Answer questions about sales performance like what's selling and what isn't. Track inventory and proactively flag problems, like an item about to sell out before a promotion starts. Recommend pricing and promotions based on the store's own sales history. Draft marketing campaigns to move the products that need moving. When the agent proactively suggests a change, a person approves it before anything goes live, meaning users get the final say while their agent watches the store. In the repository, these capabilities ship as skills for sales analytics, catalog and inventory management, marketing and promotions, and in-portal UI such as charts and dashboards. Trusted across the industry Companies that serve shoppers, travelers, subscribers, and merchants build and run agents on Claude. Here's what they have to say about building commerce agents with Claude: “AI will fundamentally reshape commerce, but trust must remain at the center of every transaction. Merchants are telling us they want more control over how AI engages their customers. Our collaboration with Anthropic on their commerce blueprint helps bring together the intelligence of Claude with the trust, security, and global reach of the Visa network, empowering merchants to deliver better customer experiences while maintaining the relationships that drive their businesses forward.” Jack Forestell, Chief Product and Strategy Officer “Trust is the currency of commerce, and it is even more critical in the agentic era. With Anthropic's commerce blueprint, we're helping merchants build their own agents with Claude to drive their growth. By combining AI innovation with trusted payments and commerce infrastructure, we're helping connect consumers, merchants and AI agents securely, seamlessly and at scale.” Sherri Haymond, Executive Vice President, Global Head of Digital Commercialization “Commerce agents are quickly becoming a critical capability for organizations seeking to deliver the personalized, intelligent customer experiences that today’s consumers expect. Our latest research revealed that 85% are now open to collaboration with an AI agent and nearly three in four would trust a personal AI agent more than their best friend to make a purchase on their behalf. This is more than a shift in how people shop. Agentic commerce is rewriting the rules of brand value – fundamentally shaping what gets purchased, when, where and by whom. Anthropic’s commerce agent blueprint provides a proven starting point that can help organizations accelerate deployment and build differentiated experiences that increase customer satisfaction, loyalty, and growth. Combined with Accenture's deep retail and consumer goods expertise, we can help clients move from concept to production and realize value from agentic AI faster.” Kath Gramling, Global Consumer Goods, Retail and Travel lead “A trip is one of the most complex things a person buys: flights, hotels, cars, and dozens of options to weigh against each other. Penny, our AI assistant, navigates all of that in one conversation and surfaces the best options and best value. We built the latest generation of Penny on Claude because that kind of reasoning is exactly what Claude models are good at.” Cobus Kok, Vice President, AI Experiences “Millions of consumers, businesses and accountants run their finances on Intuit. Working with partners like Anthropic, we're building highly personalized experiences that provide customers with a clear understanding of what's shifting in their business and why, so they can take action with complete confidence. We are creating a financial system of intelligence by combining frontier AI reasoning, including Claude, with our proprietary data, capabilities, intelligence, and human expertise that powers the next level of prosperity for our customers.” Chris Kasten, Intuit’s Chief Architect and SVP of Engineering, Platform and Development Xceleration Group “We want our merchants to be everywhere customers are shopping, and increasingly that means a conversation with an agent. We're building on Anthropic's blueprints with a reference storefront implementation that connects them to a merchant's store through Catalog, UCP and Shop Sign-in. Merchants can use Claude to build agents that help customers find products, check out, and answer questions about their orders.” Vanessa Lee, VP Product “Commerce and stunning customer experiences require personalization, and every brand on Klaviyo sits on more customer data and decisions than any team could act on by hand. Claude closes that gap, turning con