What Is Agentic Commerce? A Complete Guide for 2026

In recent years, we have seen customers use AI tools like ChatGPT to find products, compare prices, and make a final decision about what to buy. However, AI is now moving beyond product recommendations and starting to shop on customers' behalf. Agentic Commerce allows AI agents to understand customer requirements, search for products, compare options, and even purchase with customer approval.

For retail and e-commerce, agentic commerce creates new opportunities as well as challenges. Continue to the end of this guide to learn what agentic commerce is, how it works, what businesses can expect in 2026, and steps to plan their online store for AI-driven shopping. It's part of our guide to AI in retail and e-commerce.

What Does Agentic Commerce Mean?

Agentic commerce simply means an AI agent purchases on customers' behalf. It helps shoppers find products, compare options, and complete purchases on their behalf. Let us understand it more deeply using an example: suppose you instruct an AI agent to find a jacket under $150. After your instructions, it will search online stores, compare prices and features, and get you the right product. It can also purchase if you approve.

In simple wording, Agentic commerce means an AI agent that can do more than answer customers’ questions. With your permission, it can also take actions to complete tasks, as in agentic AI.

How Is It Different From Regular Online Shopping?

In regular shopping, you do every step, whether it is product search, price comparison, or purchasing the product. Moreover, a shopping chatbot helps you get ideas and answer questions, but you still handle the checkout on your own. With agentic commerce, the AI agents search products, compare options, and can even buy within your limits.

How Does Agentic Commerce Work?

Agentic commerce works in six simple steps: you set a goal, the agent searches for the product, compares options, and builds a cart. Moreover, it can also pay and complete the purchase order after your approval.

1. You give a goal: For example, “find a rain jacket under $150.”

2. The agent searches for the product: Then, the agent searches data across online stores and collects other data, such as product details, price, and availability.

3. It compares and builds a cart: The AI agent checks and compares factors, such as price, customer reviews, product features, and product delivery.

4. You approve the purchase: You can review the order before proceeding with the purchase or set rules, such as a maximum spending limit.

5. It pays and tracks the order: The AI agent uses an approved payment method and helps you check delivery status.

6. It provides post-purchase support: It can also help with returns, order changes, or refunds, depending on the policies.

How Far Does the AI Go Today?

Agentic commerce is still developing. Most AI shopping tools can find products, compare options, and prepare shopping carts. However, customers still need to review the order and click the Buy button themselves. As AI takes on more shopping tasks, it gains more control over the purchase, making customer approval, spending limits, and trust more important.

Who Is Building Agentic Commerce, and Where Does It Stand?

Two major initiatives are shaping agentic commerce: the Agentic Commerce Protocol (ACP) from OpenAI and Stripe, and the Universal Commerce Protocol (UCP) from Google and Shopify. ACP launched in September 2025, and Google and Shopify announced UCP in January 2026.

Both aim to help AI agents connect with online stores, search for products, and complete purchases. However, they use different approaches, and their rollout is still developing.

According to CNBC, OpenAI said it was moving Instant Checkout to apps. This means customers can find products using ChatGPT and continue their purchase through a retailer’s app. However, Google takes a different approach. It announced UCP with partners, including Walmart, Target, Wayfair, Etsy, and Shopify. This protocol helps AI agents connect with retailers and support shopping and checkout. Moreover, Google later also expanded UCP checkout to Canada in November 2026.

Go deeper:

• UCP: The Universal Commerce Protocol (UCP) is open source under Apache 2.0. Retailers can easily publish a profile and offer capabilities, such as product search and checkout, through connectors like REST, MCP, or A2A.

• Building your own AI agents? You can go through our LangChain, AutoGen, and CrewAI comparison guide to understand different AI agent development frameworks.

• Using Salesforce? To know which approach suits your business, you can read our comparison guide on Salesforce Agentforce and Custom AI Agents.

Are Shoppers Ready for Agentic Commerce?

Many shoppers already use AI to research products, compare prices, and get recommendations. However, fewer are comfortable with AI completing purchases on their behalf. According to McKinsey research, a survey of around 21,000 consumers in June 2026 found that more than half now use AI for shopping. Also, 7 to 18% of AI users had allowed AI to complete the purchase. Moreover, Apparel was the leading category for AI-led purchases.

However, trust is another barrier. As per a payments-industry survey by Checkout.com, 24% of consumers said they would never let AI buy something on their behalf.

Apart from these concerns, the market has significant growth potential. McKinsey’s agentic commerce research estimates that AI agents could influence up to $1 trillion in US retail sales by 2030. This is a forecast, rather than a confirmed outcome.

What Should Retailers Do Now?

Retailers do not need to rebuild their online stores to prepare for agentic commerce now. They can start by making product information easy, such as clean product data, accurate price and stock, clear policies, secure APIs, and tests on their platforms.

Here are five practical steps that retailers should take now:

1. Improve your product data: Use clear product names, descriptions, accurate dimensions, and other useful product details. This helps AI agents to find products and compare options.

2. Keep price and stock levels accurate: AI agents require current pricing and availability to make useful recommendations. Moreover, accurate stock data also supports AI demand forecasting.

3. Make your return and shipping policies clear: Clearly state your delivery times, shipping costs, return periods, and refund rules. This information may help AI agents compare products more accurately.

4. Secure your store connections: Always use secure APIs and set which AI agents and services can access your store. You must set clear permissions for what they can view or do.

5. Test the platform you use: Test how your products appear in platforms, such as Shopify and Google’s AI shopping tools. Google has also shared how to make UCP setup easier through Merchant Center.

Hence, business owners can approve product data improvements, like data cleanup, and IT leads can review APIs, access permissions, and security. You can read our AI readiness checklist; it will help you identify gaps before you begin.

If you are planning to invest in AI and want to know what to budget, read our guide on the cost of AI in retail and e-commerce for a cost estimate.

What Are the Risks of Agentic Commerce?

Beyond making shopping easier, agentic commerce also carries a few risks. It may select the wrong product, interact with a fake service, or share more personal information than necessary. Retailers and shoppers need to set clear rules to keep these transactions safe. Here are some common risks and ways to reduce them when starting with agentic commerce for your business.

Agentic commerce needs clear purchase rules, secure access, and control over personal information. Moreover, retailers should also give customers a way to review transactions and prevent AI agents from taking unauthorized actions.

How can Your Business Prepare for Agentic Commerce?

Agentic commerce is changing how customers discover products, compare prices and other options, and make orders. Retailers who use clear product details, store systems, and security now will be better positioned to support AI-driven shopping. You do not need to change your entire online store in one go.

Instead, you can start by identifying where AI can improve product search, customer experience, and other daily routine tasks. You can connect with our AI team to plan the right approach. Explore our agentic AI development services and AI services and solutions to find practical ways to prepare your retail and e-commerce business for agentic commerce.

Keep Reading:

• 8 AI use cases in retail and e-commerce

• Cost of AI in retail and e-commerce

• AI demand forecasting for retail and e-commerce

• AI readiness checklist