agentic commerce retail
Retail Tech

April 28 2026

Adobe Builds the Operating Layer for a Zero-Click Commerce Era

Adobe CX Enterprise is an AI-powered orchestration platform that unifies brand visibility, customer engagement, and analytics into a single agentic layer. For retail and fashion brands, it signals a fundamental shift: as AI agents increasingly control product discovery through zero-click journeys, brands that don’t restructure their content and data infrastructure for LLM consumption risk losing direct access to their own
Arthur Zaczkiewicz

Adobe CX Enterprise is an AI-powered orchestration platform that unifies brand visibility, customer engagement, and analytics into a single agentic layer. For retail and fashion brands, it signals a fundamental shift: as AI agents increasingly control product discovery through zero-click journeys, brands that don’t restructure their content and data infrastructure for LLM consumption risk losing direct access to their own customers.

At the recent Adobe Summit 2026, held last week in Las Vegas, Ornella Urso, head of IDC’s Retail Insights team in Europe, highlighted a fundamental shift in how brands interact with consumers through the lens of artificial intelligence.

The centerpiece of this evolution is Adobe CX Enterprise, which is a sophisticated AI-powered operating layer designed to unify brand visibility, customer engagement and analytics. For retailers and brands with siloed tech stacks, it is a dream come true.

Adobe announced the new platform in a blog post last week by Amit Ahuja, senior vice president of customer experience orchestration platform and products at Adobe. The context and impetus behind rolling this solution out is simple. Ahuja said as AI agents and conversational interfaces reshape how decisions are made, “the customer journey is being fundamentally altered.”

“Traditional marketing levers, like search and paid media, are being redefined in real time as customer journeys become zero-click, and discovery happens via AI-generated responses,” Ahuja said, adding that for enterprise businesses, “this introduces a strategic challenge — the loss of direct access to customers.”

Ahuja said at the same time, “the mechanisms driving growth are changing, and for enterprise leaders, this moment is urgent. The question is no longer whether to adopt AI, but how to operationalize it to drive growth, maintain trust, and deliver differentiated experiences at scale.”

For Adobe, the solution is clear, Ahuja said, noting that the opportunity lies in an agentic system “that is flexible enough to let organizations codify their own business processes and is completely extensible so brands can quickly move from channel-centric marketing to full-lifecycle orchestration.”

Urso said the platform’s architecture is driven by the CX Enterprise Coworker, which is an agentic layer that integrates various tools and protocols to create a seamless, intelligent ecosystem for managing the entire customer journey.

What else did Adobe announce at Summit 2026 that matters for retail?

A practical application of this shift to agentic AI was also showcased through a case study with Walmart, which addressed the massive scale of modern content production. By implementing Adobe’s Content Supply Chain model using GenStudio and Firefly, Urso said Walmart transitioned from manual, campaign-led workflows to a programmatic system for asset generation and reuse.

Adobe Workfront also serves as the operational foundation for this change, providing the necessary data visibility and project management tools to handle over 250,000 annual assets efficiently.

Urso said the summit also signaled a major evolution in commerce to accommodate the “Agentic Era,” acknowledging that a significant majority of shoppers now utilize generative AI for product research. To stay relevant in this upstream discovery phase, Adobe announced plans for agent-ready catalogs and Product Detail Pages (PDPs) arriving in the second half of 2026. These updates, supported by the Universal Checkout and Agent Commerce Protocols, ensure that product data is structured specifically for consumption by LLMs like Gemini and ChatGPT.

Adobe is also developing a “Brand Concierge” transactional infrastructure to provide real-time access to pricing and inventory data. This roadmap progresses from simple discovery to in-conversation checkouts and returns, though Urso noted that the final phases carry operational risks regarding brand voice consistency.

To round out the customer experience, the new Journey Optimizer Loyalty integrates loyalty data directly into customer profiles, allowing retailers to move beyond static tiering and orchestrate real-time interactions based on live consumer behavior.

Related podcast: Ep. #019: ‘The Shopkeeper Never Left’ — David Dorf, Amazon Web Services


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