Why agentic storefronts are the future of commerce

The result is a more predictive and responsive retail environment in which businesses can anticipate consumer demand and act on it quickly.

Now, agentic storefronts that respond in real time to recommend products, compare options and assist with purchase decisions, have begun to complement — and in some cases replace — static e-commerce sites. 

 “The agentic storefront starts a new era,” said Juan Pellerano-Rendon, Chief Marketing Officer at agentic storefront pioneer Swap. “One intelligent agent guides shoppers from discovery to checkout — building outfits, cross-selling, handling returns and customer service — and gets smarter with every session.”

For brands and retailers, the implications are clear. To be competitive, they must move beyond storefronts with static product collections and toward fluid, always-on shopping environments that evolve alongside consumer behavior.

What exactly is agentic commerce, and what role do agentic storefronts play? 

Agentic commerce is the ability to purchase goods or services with the help of an AI agent that handles the full shopping journey from discovery to purchase. For example, a consumer describes the product or service they want to buy, interacting with the agent via voice or text. Then the AI agent takes action by searching for, comparing and deciding on items on a shopper’s behalf with minimal input. In some cases, the agent can also complete the purchase for the consumer. 

The underlying infrastructure of agentic commerce is already in use by payment and identity verification systems, security technology and conversational interfaces that make online transactions possible.

For instance, Mastercard’s agentic commerce interface Agent Pay allows verified AI agents to make purchases securely on behalf of users. Retailers such as Ralph Lauren have AI-powered virtual shopping assistants that help customers search for and discover products through conversations. And payment platforms like Stripe use tokenization to enable secure, AI-assisted transactions. 

Conversational AI platforms like ChatGPT or Google’s Gemini, draw on the same agentic commerce infrastructure to create end-to-end commerce experiences in which AI agents summarize, synthesize and recommend products to consumers. 

However, these platforms typically don’t drive consumers to retailers’ websites. Instead, shoppers are guided by direct responses within AI-driven interfaces rather than navigating a list of links. And the effects of zero-click search are becoming a real concern for retailers who can no longer rely on referral traffic from SEO results.

Agentic storefronts like the ones Swap pioneered, however, give merchants the opportunity to own the power of agentic AI by creating an entirely new digital sales channel. Consumers browse based on intent. And, instead of selling through an LLM like Gemini or ChatGPT, a brand’s site becomes the LLM. 

“In an agentic world, it’s no longer about ranking. It’s about being selected,” Pellerano-Rendon said. “The retailers who win won’t just optimize for search engines; they’ll build commerce experiences that agents can understand, trust, and transact with directly.” 

How agentic storefronts are becoming the new shopping channel 

Successfully applying agentic commerce on a retailer’s website doesn’t simply mean deploying an AI-powered chatbot or securely automating consumer transactions. 

To fully incorporate agentic commerce, retailers need to replace their traditional websites with agentic storefronts that layer conversational, AI-driven interfaces; personalized, dynamic experiences; and the ability to act on behalf of the shopper or interact with other AI agents.  

When consumers shop on agentic storefronts, they don’t browse through product pages. Instead, they interact with an AI agent that guides them from discovery to try-on to checkout. Product layouts, promotions and prioritization shift automatically based on conversion data, velocity and shopper intent signals. 

For example, if a shopper in Seoul browses a London-based brand on an agentic storefront, the site’s AI agent will adapt size recommendations to regional norms, suggest climate-appropriate items, predict shipping timelines and find the best price. Everything is resolved inside one conversation, without a separate checkout flow.

Swap launched its agentic storefront model in March 2026 for a select set of clients, and initial results have shown higher conversion rates, increased time spent on site and a reduction in returns, according to Pellerano-Rendon. 

“With our launch of the first agentic storefront, agentic commerce is not just theoretical; it’s real,” Pellerano-Rendon said. “From our initial brands launched on the storefront, we’ve seen two times the conversion rate versus a dot-com, three times the consumer time spent on a traditional site and a 20% reduction in returns.”

Agentic storefronts like the ones Swap builds will become the industry standard for digital commerce within the next two years, according to Pellerano-Rendon. He predicts that brands and retailers will no longer operate sites that remain unchanged for weeks. Instead, they will operate adaptive environments that learn and update in real time. 

“For now, we see our agentic storefront as a new sales channel for brands. It’s not going to cannibalize existing channels. It’ll be additive,” Pellerano-Rendon said. “In 12 to 24 months, we anticipate that a significant share of commerce will be conducted through agents.”

Why waiting is more expensive than building now 

Retailers that lead in the era of agentic commerce will shift their websites from static product pages to agentic storefronts, designing content, policies and payments that can be easily interpreted by AI agents — without losing clarity for human customers.

AI adoption and performance data show that waiting to adapt to agentic commerce may be more costly in the long run than building now. According to a report from Market.us, the estimated market size of agentic AI could reach $196.6 billion by 2034. 

Research from McKinsey & Company found that agentic AI has the potential to generate $450 billion to $650 billion in additional annual revenue by 2030. That would represent a 5%–10% revenue uplift in advanced industries, with cost savings from automating repetitive tasks and streamlining operations ranging from 30%–50%.

The brands and retailers that move quickly to scale agentic commerce systems stand to build lasting advantages, while slower competitors risk being left testing small pilots at the margins, according to Pellerano-Rendon. In an ecosystem defined by speed, personalization and autonomy, only the retailers with agentic storefronts capable of interpreting and acting on shopper intent will keep up.

“What will happen is that consumers will start to adopt agentic storefronts as a preferred shopping method. As this becomes more widely adopted, consumers will start to have this expectation as part of their shopping experience,” Pellerano-Rendon said. “The best way to prepare for those changes is to stay ahead of the curve. Sell with AI or lose to it.” 

Sponsored by Swap