{"id":91056,"date":"2026-06-11T22:31:59","date_gmt":"2026-06-11T22:31:59","guid":{"rendered":"https:\/\/www.bloomreach.com\/?post_type=library&p=91056"},"modified":"2026-06-11T22:32:00","modified_gmt":"2026-06-11T22:32:00","slug":"agentic-commerce-platform-guide","status":"publish","type":"library","link":"https:\/\/www.bloomreach.com\/en\/blog\/agentic-commerce-platform-guide","title":{"rendered":"How To Choose an Agentic Commerce Platform: A Buyer’s Evaluation Guide"},"content":{"rendered":"\n

Agentic commerce<\/a> is already here. AI agents are browsing, comparing, and buying on behalf of consumers right now, and retailers who haven’t structured their catalogs for agent discovery are already losing the sale before a human visitor ever lands on their site.<\/p>\n\n\n\n

What makes evaluation difficult is that agentic commerce requires two simultaneous decisions. Your platform must be discoverable by external AI agents (ChatGPT, Claude, Perplexity, etc.) while also powering your own on-site and marketing agents. <\/p>\n\n\n\n

This guide is a structured evaluation framework for retailers actively in the buying process: five criteria, specific vendor questions for each, and real results from production deployments.<\/p>\n\n\n\n

What Is an Agentic Commerce Platform?<\/strong><\/h2>\n\n\n\n

Before evaluating vendors, you need a precise definition of an agentic commerce platform. That\u2019s because “agentic” is being applied to everything from basic chatbots to actual autonomous systems, and the gap between those two things is enormous.<\/p>\n\n\n\n

An agentic commerce platform is a system that enables, orchestrates, and governs AI agents<\/a> within commerce contexts (product discovery, transaction, marketing, and operations). Not every AI tool qualifies \u2014 a platform provides four things a standalone tool doesn’t: a data layer that agents can query in real time, the agent logic itself, connectivity to external systems and protocols, and governance controls that keep agents operating within defined boundaries.<\/p>\n\n\n\n

As for AI agents, you\u2019ll need to make sure you differentiate between an AI tool and an autonomous agent. Here\u2019s a breakdown of existing AI tools vs. what agents are capable of: <\/p>\n\n\n\n

Not an agent<\/strong><\/th>What an agent does<\/strong> <\/strong><\/th><\/tr><\/thead>
AI-powered search (retrieval and ranking)<\/td>Goal-directed, multi-step reasoning<\/td><\/tr>
Personalization engine (ranking content)<\/td>Autonomous action without per-step instruction<\/td><\/tr>
Rule-based automation (“if cart abandoned, send email”)<\/td>Adaptive behavior based on observed outcomes<\/td><\/tr>
Reactive chatbot (answers what users ask)<\/td>Proactive decision-making toward a defined objective<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Not all agentic deployments are the same. At one end of the spectrum, you have fully autonomous agents that execute end-to-end without human review. At the other end, you have human-in-the-loop systems where an agent recommends and a human approves before execution. Most enterprise retailers will start closer to the latter, and that’s appropriate. The platform you choose should support both modes and let you define where on that spectrum each agent operates.<\/p>\n\n\n\n

Why Agentic Commerce Is Arriving Now<\/strong><\/h2>\n\n\n\n

It\u2019s crucial to start acting on agentic commerce now instead of watching and waiting. That\u2019s because agentic commerce can be huge for your business \u2014 it\u2019s estimated to generate $3-5 trillion annually worldwide<\/a> by 2030, with the US B2C retail market representing a significant portion.\u00a0<\/p>\n\n\n\n

And consumer behaviors are already shifting. More people are turning to platforms like ChatGPT and other conversational interfaces to shop, which means you need to make sure you appear in external tools if you want to stay in front of shoppers. <\/p>\n\n\n\n

Plus, research shows that AI shopping agents respond to different signals<\/a> than human shoppers do. Promotional urgency, brand-heavy copy, and discounting language have little effect on AI recommendations. What matters to an AI agent is how complete product attributes are and how accurate pricing is. That finding should change how you think about both your product data strategy and your platform requirements. If AI is reshaping retail<\/a> at the discovery layer, the tools you’ve built to influence human shoppers won’t transfer automatically.<\/p>\n\n\n\n

The primary protocols that enable agentic commerce have also reached deployable maturity. MCP (Model Context Protocol), the Anthropic-originated standard, has broad adoption across AI systems. Meanwhile, ACP (Agent Commerce Protocol) is newer and still being formalized. <\/p>\n\n\n\n

So, while agentic AI capabilities have been available for years, the standardized infrastructure for connecting agents to commerce systems was not. Now that they\u2019re more readily available, you should treat agentic commerce platforms as an operational priority. <\/p>\n\n\n\n

The Two Sides of Agentic Commerce (And Why Most Platforms Only Cover One)<\/strong><\/h2>\n\n\n\n

There are two sides to a good agentic commerce platform: how it handles external agents and how it deploys internal agents. Unfortunately, many platforms only focus on one aspect \u2014 here\u2019s why that framing is incomplete, and why treating these as separate decisions is a mistake.<\/p>\n\n\n\n

Handling External Agents <\/strong><\/h3>\n\n\n\n

External AI agents don’t browse your website the way a human does. ChatGPT, Perplexity, Claude, and similar systems query product data through structured feeds and APIs. If your catalog isn’t structured for agent consumption, you become invisible to a growing share of discovery traffic, regardless of how well your website performs for human visitors.<\/p>\n\n\n\n

The technical requirements for external agent readiness include:<\/p>\n\n\n\n