{"id":41456,"date":"2025-10-16T09:00:53","date_gmt":"2025-10-16T07:00:53","guid":{"rendered":"https:\/\/www.striped-giraffe.com\/?p=41456"},"modified":"2026-01-23T14:35:47","modified_gmt":"2026-01-23T13:35:47","slug":"agentic-commerce-part-1-where-conversations-become-transactions","status":"publish","type":"post","link":"https:\/\/www.striped-giraffe.com\/en\/blog\/agentic-commerce-part-1-where-conversations-become-transactions\/","title":{"rendered":"Agentic Commerce: Where Conversations Become Transactions"},"content":{"rendered":"

[vc_row][vc_column width=”1\/3″][\/vc_column][vc_column width=”2\/3″][vc_column_text]<\/p>\n

We are witnessing another power shift in digital commerce. The next checkout won\u2019t be a webpage \u2014 it will be the chat window where you ask for advice.<\/h3>\n

[\/vc_column_text][vc_empty_space height=”40px”][vc_column_text]A new e-commerce model is emerging \u2014 often called Agentic Commerce<\/strong> \u2014 where purchases happen directly inside conversations with AI assistants. Some describe it as the next evolution of conversational commerce (Conversational Commerce 2.0<\/strong>) but this time, the agent doesn\u2019t just recommend products. It buys them for you.[\/vc_column_text][vc_empty_space height=”40px”][vc_column_text]<\/p>\n

How It Works: From Conversation to Checkout<\/strong><\/h1>\n

The mechanism behind agent-led shopping generally follows a clear sequence:<\/p>\n

Step 1. Intent capture<\/strong><\/h2>\n

The process begins when the user formulates a request<\/strong> \u2014 for instance, asking for a \u201cminimalist desk lamp under 80 \u20ac.\u201d The AI interprets the query, analyzes preferences and constraints, and retrieves relevant product data from integrated merchant feeds.<\/p>\n

Step 2. Intelligent product selection<\/strong><\/h2>\n

Using structured metadata<\/strong> such as price, material, color, availability, and customer reviews, the AI agent compiles a shortlist<\/strong> of matching products. Recommendations are typically ranked by contextual relevance and user fit, not by sponsored placement.[\/vc_column_text][vc_empty_space height=”40px”][vc_single_image image=”41450″ img_size=”full” alignment=”center”][vc_empty_space height=”40px”][vc_column_text]<\/p>\n

Step 3. In-chat checkout<\/strong><\/h2>\n

Once the user chooses a product, the assistant enables checkout<\/strong> directly in the conversation window. Payment, shipping, and confirmation happen within the same interface \u2014 no external redirects, no multiple tabs. This step removes the friction of switching platforms and shortens the buying journey to a single interface.<\/p>\n

Step 4. Secure payment authorization<\/strong><\/h2>\n

Instead of exposing sensitive payment credentials, the AI agent relies on a tokenized or delegated authorization system<\/strong> provided by the payment processor.<\/p>\n

Whether through Stripe\u2019s ACP<\/strong>, Google\u2019s AP2<\/strong>, or similar emerging standards, the core principle remains the same: transactions are verified without the AI ever storing card data. These protocols \u2014 and their growing role in building the agentic commerce infrastructure \u2014 are explored later in this article.<\/p>\n

Step 5. Merchant-side fulfillment<\/strong><\/h2>\n

The order and payment confirmation are transmitted via standardized APIs<\/strong> to the merchant\u2019s back-end systems. The merchant validates the transaction, handles taxation, fulfillment, and customer communication, while the AI acts as an intermediary between user and seller.<\/p>\n

Step 6. Continuous optimization<\/strong><\/h2>\n

Each interaction generates insight into user intent, conversion behavior, and product relevance. Over time, this feedback loop enables both merchants and AI providers to refine recommendations and improve the efficiency of agent-driven transactions.[\/vc_column_text][vc_empty_space height=”40px”][vc_column_text]<\/p>\n

Reality Check: Agentic Commerce Goes Live<\/strong><\/h1>\n

Agentic Commerce is no longer a thought experiment or a slide in a keynote deck.<\/p>\n

Over the past months, several leading technology firms have begun rolling out real, functioning implementations of AI-led shopping \u2014 systems that turn conversation into transaction. What was once a speculative idea is now appearing in production: users can browse, buy, and pay directly inside chat interfaces.<\/p>\n

The following examples show how quickly this new model is moving from theory to market reality \u2014 and how differently each player is trying to capture its share of the coming AI commerce layer.[\/vc_column_text][vc_column_text]<\/p>\n

OpenAI and Stripe<\/strong><\/h2>\n

OpenAI has taken the boldest step so far. Its Instant Checkout<\/strong> feature in ChatGPT<\/strong> allows users in the United States<\/strong> to browse and buy products from Etsy<\/strong> merchants \u2014 with Shopify<\/strong> integrations expected to follow soon. For now, the rollout covers U.S.-based sellers only, but it marks the first large-scale implementation of true Agentic Commerce.<\/p>\n

The foundation of this system is the Agentic Commerce Protocol (ACP)<\/strong>, an open standard co-developed by OpenAI<\/strong> and Stripe<\/strong>. ACP defines how AI agents and merchants communicate \u2014 how they request product data, transmit orders, and reconcile payments. In practice, it replaces dozens of one-off integrations with a single, standardized API language between agents and commerce platforms.<\/p>\n

A key technical innovation is Stripe\u2019s Shared Payment Token (SPT)<\/strong> \u2014 a secure, one-time payment credential linked to a specific merchant and basket total. It enables the AI agent to trigger a payment without ever storing or exposing card details.<\/p>\n

SPTs currently support all major card networks (Visa<\/strong>, Mastercard<\/strong>, Amex<\/strong>), debit cards, and digital wallets such as Apple Pay<\/strong>, Google Pay<\/strong>, and Link by Stripe<\/strong>.<\/p>\n

For Stripe, this step extends its role beyond payments into the economic infrastructure of AI-driven commerce. By defining how transactions are initiated by autonomous agents, Stripe positions itself as the backbone of the agentic layer.<\/p>\n

If ACP gains traction across merchants and other AI platforms, OpenAI and Stripe could effectively control the \u201cgrammar\u201d of online transactions \u2014 a level of influence once held by search engines and marketplaces.[\/vc_column_text][vc_empty_space height=”40px”][vc_single_image image=”41445″ img_size=”full” alignment=”center” onclick=”zoom”][vc_empty_space height=”40px”][vc_column_text]<\/p>\n

Google and the Agent Payments Protocol (AP2)<\/strong><\/h2>\n

Google has taken a parallel path with its own open framework \u2014 the Agent Payments Protocol (AP2)<\/strong> \u2014 announced in mid-2025.<\/p>\n

AP2 aims to standardize how AI agents initiate and authorize payments across Google\u2019s ecosystem, including Gemini<\/strong>, Android<\/strong>, and the Chrome<\/strong> browser.<\/p>\n

The protocol allows agents to act on behalf of users to complete purchases, using delegated payment credentials stored in Google Pay.<\/p>\n

AP2 mirrors many of the ideas introduced by OpenAI and Stripe\u2019s ACP \u2014 tokenized transactions, standardized merchant APIs, and transparent data exchange \u2014 but operates within Google\u2019s existing global infrastructure and merchant base.<\/p>\n

Initial implementations are being tested in North America and Western Europe, focusing on digital goods and small consumer purchases from verified Google Pay<\/strong> merchants.<\/p>\n

Industry observers expect AP2 to integrate tightly with Google Shopping<\/strong>, Google Maps<\/strong>, and YouTube<\/strong>, effectively merging product discovery and transaction into a single AI-mediated experience.<\/p>\n

If widely adopted, AP2 could make Google\u2019s AI agents the primary interface for both online and offline shopping \u2014 unifying discovery, payment, and loyalty under one ecosystem.<\/p>\n

The competition between ACP and AP2 is less about technology and more about control<\/strong>: whichever protocol becomes the industry default will define how the next generation of commerce operates<\/strong>.[\/vc_column_text][vc_column_text]<\/p>\n

PayPal Honey and OpenAI<\/strong><\/h2>\n

While OpenAI builds the foundation, PayPal<\/strong> is fighting to remain visible in the new discovery layer. Its Honey<\/strong> extension, once known for surfacing coupons and cashback offers in browsers, is now integrating directly with ChatGPT<\/strong> and other AI platforms.<\/p>\n

When users ask AI for product advice, Honey injects real-time pricing, merchant options, and available deals \u2014 even flagging retailers that the AI might have missed. This strategy aims to reinsert PayPal into the path-to-purchase at a time when AI platforms threaten to bypass traditional affiliate models altogether.<\/p>\n

By merging its data on merchants, discounts, and transactions with conversational agents, PayPal is repositioning itself not just as a payment processor, but as a pricing intelligence layer<\/strong> inside AI commerce. The challenge, however, will be maintaining influence in systems increasingly controlled by the AI platforms themselves.[\/vc_column_text][vc_column_text]<\/p>\n

Microsoft and Perplexity<\/strong><\/h2>\n

\u00a0<\/strong>Microsoft, through its Copilot Merchant Program<\/strong>, is enabling brands to set up in-chat storefronts<\/strong> \u2014 miniature shops living inside AI interfaces. Meanwhile, Perplexity<\/strong> has already rolled out similar in-chat shopping and payments, mirroring the OpenAI approach.<\/p>\n

Both moves highlight the strategic race for the AI \u201cfront door.\u201d Whoever controls that interface \u2014 the place where a purchase begins \u2014 controls discovery, data, and revenue. For merchants, this introduces both opportunity and dependency: access to massive traffic via AI assistants, but under rules set by the platform.<\/p>\n

The competition among OpenAI, Microsoft, and Perplexity is not just about features; it\u2019s about defining the default path to purchase<\/strong> in an AI-mediated economy. As more agents adopt standardized protocols like ACP, the barriers to switching between them may shrink \u2014 yet the platform with the strongest user trust and ecosystem will likely dominate.[\/vc_column_text][vc_empty_space height=”40px”][vc_single_image image=”41454″ img_size=”full” alignment=”center”][vc_empty_space height=”40px”][vc_column_text]<\/p>\n

Conclusion<\/strong><\/h1>\n

Digital commerce is undergoing a fundamental shift: In the future, checkout will no longer happen on a website \u2014 it will happen directly in the chat. AI assistants will handle product discovery, selection, and payment without the user ever leaving the conversation.<\/p>\n

Agentic Commerce<\/strong> represents the next evolution of e-commerce: a system in which standardized protocols like Stripe ACP and Google AP2 govern transactions \u2014 and in doing so, redefine the balance of power in digital commerce.<\/p>\n

\ud83d\udc49 Key Takeaway:<\/strong><\/p>\n

Agentic Commerce shifts control over product discovery, purchasing, and payment from shops and marketplaces to AI assistants. Whoever owns the interface between user and transaction today will shape the grammar \u2014 and the rules \u2014 of online commerce tomorrow.[\/vc_column_text][vc_empty_space height=”40px”][vc_separator color=”black”][vc_empty_space height=”40px”][vc_column_text]<\/p>\n

You might also like:<\/strong><\/h3>\n