Imagine you wake up on Saturday morning, open your phone, and tell an AI agent: “I need a new winter jacket. Waterproof, under £150, something I can wear hiking but that doesn’t look ridiculous in a pub.”
The agent doesn’t ask you to type keywords into a search bar. It doesn’t send you to a results page with 4,000 options and a filter panel. It searches across multiple retailers, compares options against your stated criteria, reads reviews, checks your size preference from a previous purchase, and returns three specific recommendations with a brief explanation of why each one fits — then asks if you’d like it to purchase the best one on your behalf.
This is agentic commerce. And it’s not a distant future scenario. The technology to do this exists today. What doesn’t exist yet, for most retailers, is the infrastructure to handle it.
What Is Agentic Commerce?
Agentic commerce is ecommerce conducted by AI agents acting on behalf of human shoppers. Rather than a person browsing, searching, comparing, and purchasing, an AI agent performs some or all of those steps — guided by the shopper’s preferences, constraints, and instructions.
The key word is agentic — meaning the AI acts with a degree of autonomy. It doesn’t just respond to a query. It pursues a goal. It makes decisions. It navigates uncertainty. And in the most advanced implementations, it completes transactions without the shopper needing to touch a checkout.
This is categorically different from the AI tools most ecommerce platforms currently offer. A recommendation widget responds to what you’ve browsed. An autocomplete finishes your search term. A chatbot answers your question. An agent acts on your behalf — which is a fundamentally different kind of intelligence.
How It Works in Practice
In current and near-term implementations, agentic commerce works something like this:
A shopper gives an AI agent a brief — either through a dedicated app, a voice interface, or increasingly through general-purpose AI assistants like Claude, ChatGPT, or Gemini. The brief might be specific (“buy me the cheapest available flight from Manchester to Prague in August”) or open-ended (“find me a birthday gift for my dad, he’s into fishing and technology, budget around £60”).
The agent then executes autonomously. It queries product catalogues, compares prices across retailers, evaluates reviews, applies the shopper’s constraints, and either presents options or — with appropriate permissions — completes the purchase directly.
The shopper’s role shifts from active navigator to goal-setter and approver. They define what they want. The agent figures out how to get it.
💡 Why This Changes Everything
When AI agents do the shopping, the entire competitive landscape of ecommerce changes. Visibility in a human-facing search results page matters less. What matters more is whether your products are accessible, well-described, and competitive — because the agent is doing the comparison, not the shopper. Platforms built for human browsers will struggle. Platforms built for agent queries will win.
What This Means for Retailers
For retailers, agentic commerce is both an opportunity and a threat — depending entirely on whether their infrastructure is ready for it.
The opportunity: AI agents dramatically expand the reach of any retailer whose products are well-indexed, accurately described, and competitively priced. When an agent searches across multiple platforms simultaneously, a small independent retailer with the right product at the right price can surface alongside — or above — the major platforms.
The threat: retailers whose product data is poor, whose pricing is uncompetitive, or whose platforms aren’t accessible to agent queries will simply not appear. You can’t buy your way into an AI agent’s recommendation the way you can buy a sponsored listing in a human-facing search. The agent is working for the shopper. It has no incentive to show them a worse result.
This is why the sponsored listing model — which currently dominates ecommerce revenue for major platforms — faces structural disruption from agentic commerce. An AI agent doesn’t scroll past a sponsored row. It evaluates the actual product and makes a recommendation based on merit. The platform’s commercial interest is simply not in the loop.
What This Means for Shoppers
For shoppers, agentic commerce represents the most significant shift in the online shopping experience since the move from catalogue to browser.
The friction of shopping — finding things, comparing options, reading reviews, navigating checkouts — largely disappears. The mental load of decision-making is reduced. The gap between “I need something” and “I have it” compresses dramatically.
More importantly, the relationship between shopper and platform changes. Today, a shopper navigates a platform that was designed to extract maximum value from them. In an agentic model, the agent is explicitly on the shopper’s side — optimising for their outcome, not the platform’s revenue.
Is Retail Ready?
Honestly? Most of it isn’t.
The majority of ecommerce infrastructure today was built for human browsers. Product pages are designed to be visually compelling to people. Checkout flows are built around human decision-making. The entire architecture assumes a human is navigating, reading, and choosing.
Agentic commerce requires something different: machine-readable product data, API-accessible catalogues, reliable structured information that an agent can query and evaluate programmatically. Most retailers don’t have this — not because they’re behind, but because they’ve never needed it until now.
ShopWithMore is being built with this in mind from the start. Our XML feed architecture, our affiliate pipeline, our product data structure — all of it is designed to be clean, structured, and accessible. When agentic commerce becomes mainstream, we intend to be ready for it. Not adapting after the fact, but already there.
The question for every retailer right now is simple: when an AI agent goes shopping on behalf of your customer, will it find you?
Explore ShopWithMore at shopwithmore.co.uk.
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