Written by Dan Andersson, Rosie Stano & Rob Watson, Principal Advisors & Retail Experts, Columbus.
Article summary:
We attended NRF 2026 in New York to analyse how global retailers are operationalising AI across commerce, data, and customer experience. This year, the tradeshow marked a clear turning point for global retail. The conversation has moved from AI ambition to AI in action, with leaders showcasing how agentic commerce, disciplined data foundations, unified commerce, and emotionally driven loyalty are reshaping the industry. This article distils the four defining themes from NRF 2026 that digital commerce leaders must act on to stay relevant in a zero-click, AI-driven future.
The end of digital vs. physical — and the rise of agentic commerce
If previous years at the National Retail Federation (NRF) Big Show were defined by the promise of artificial intelligence, NRF 2026 was defined by its application. The rhetoric has shifted significantly from "what if" to "how now". The industry is moving beyond the initial hype cycle into a phase of rigorous operationalisation; the focus is no longer on adopting technology for novelty’s sake but on fundamental business transformation.
For European retail leaders, the message from New York was clear: the distinction between digital and physical channels has fully dissolved and we are entering an era of "Agentic Commerce"—where AI agents act as co-shoppers. However, the prerequisite for this future is not just advanced algorithms but immaculate data foundations and robust enterprise architecture.
Here are the four critical themes from NRF 2026 that should shape your digital commerce strategy for the year ahead.
Without structured, rich metadata, your products will be invisible to the AI agents of 2027
Theme 1: The agentic workforce
The most significant strategic shift discussed at NRF 2026 is the evolution from traditional e-commerce search to agentic commerce. This represents a move where AI is no longer just a passive tool but an active participant that discovers, evaluates, and negotiates on behalf of users.
Sundar Pichai, CEO of Google, described this as a "fundamental rewiring of technology", noting that we are moving away from keywords and filters toward a world where "agents will be able to do more for you with your direction".
This isn't theoretical; Harley Finkelstein, President of Shopify, revealed that since January 2025, merchants on their platform have seen a "14x increase in orders coming from agentic applications".
However, the "Agentic" concept has rapidly expanded beyond just the customer-facing "co-shopper". NRF 2026 served as a comprehensive showcase of how Agentic AI is permeating the entire retail value chain, handling specific, high-value tasks across the enterprise:
Content & production: Matthias Haase, VP of Content Solutions at Zalando, revealed that 80% of their editorial marketing content is now AI-generated. They are using the technology for video production, text creation, and translation across 29 markets, resulting in a 90% reduction in production costs.
Sales & coaching: Jason Johnson, CIO of Sweetwater Sound, described using AI agents to mine 40,000 daily phone calls. The system analyses these conversations to provide real-time coaching for sales associates, automating feedback loops that previously required manual managerial review.
Onboarding & discovery: Meera Bhatia, President of Fabletics, highlighted how an AI-driven onboarding quiz and flow has driven 20% year-over-year growth in new customers. Meanwhile, Nadine Graham, SVP of Ecommerce at Sephora, noted their "AI Beauty Chat" usage has tripled, streamlining discovery for complex categories like foundation.
For retailers, this requires a fundamental rethink of their digital estate. It is no longer sufficient to build digital properties solely for human eyes; you must now build for the "AI co-shopper" and the "internal agent".
As Andrew Laudato, COO of The Vitamin Shoppe, articulated: "Our job is no longer building digital properties for humans. It's building digital coverage for humans and additional digital properties for AI."
Photo: Maia Josebachvili, CRO of AI, Stripe, Rob Frieman, CIO, URBN Urban Outfitters, Inc. - Jason Dixson Photography.
Theme 2: Data discipline as the prerequisite for intelligence
While agentic commerce provides the vision, data provides the capability. A recurring theme amongst operational leaders was that AI is not a magic wand; it is an accelerator that is entirely dependent on data density and quality. If an AI agent cannot read your product metadata, your product effectively does not exist.
Andrew Laudato emphasised that for an AI agent to function, it requires "really, really clean data fulfillment, inventory in real time, by location". This sentiment was echoed by Rob Frieman, CIO of URBN (Urban Outfitters), who highlighted the granularity required: "Does your product actually say jeans?... I'm deep on product data. We're going to make sure all the metadata is there."
Other leaders winning in this space are utilising data not just for reporting but for predictive insight. Sweetwater Sound and Fabletics are leveraging AI to automate report delivery, turning weekly reports into daily insights to refine inventory forecasting.
Jennifer Myers, Head of Strategic Partnerships at Microsoft, warned that legacy product feeds are "not enough data if you think about the shift in how people are shopping now on these conversational experiences". For digital leaders, the priority must be product information management (PIM) and data governance. Without structured, rich metadata, your products will be invisible to the AI agents of 2027.
Photo: David Clark, Chief Customer Officer, Frasers Group - Jason Dixson Photography.
Theme 3: Unified commerce and the "theatre" of engagement
The siloed view of "online" versus "offline" shoppers is now effectively obsolete. Régis Schultz, CEO of JD Sports, pushed back against the traditional analyst question regarding online sales percentages. "I always say 90%," Schultz stated. "90% of my customers go online before [or] during their journey."
Retailers are reimagining physical spaces not just as points of transaction but as "theaters" of engagement that feed the digital ecosystem. Schultz described JD Sports stores as having energy and being a "theatre", while Nina Flood, Global Brand President of Timberland (VF Corp), described their stores as "hubs for entertaining, engaging, and interacting", citing in-store "maker sheds" for customisation.
This ecosystem approach extends to business models as well. Michael Rubin, CEO of Fanatics, described a unified loyalty currency that connects betting, merchandising, and collectibles, creating a flywheel that keeps the consumer within their ecosystem.
For the European market, this underscores the need for true unified commerce architectures. The goal is a single view of the customer and inventory that allows for seamless transitions between digital research and physical experience. As David Clark, Chief Customer Officer at Frasers Group, noted, the challenge is creating experiences where "consumers start [their] discoverability journey off site [e.g., Gemini] and that conversation... is then passed into our own experiences".
Retailers are reimagining physical spaces not just as points of transaction but as "theaters" of engagement that feed the digital ecosystem
Theme 4: Redefining loyalty - from transactions to relationship engines
As the economic landscape shifts from income-based to asset-based, traditional "earn-and-burn" loyalty programs are losing their potency. A major theme at NRF 2026 was the continued move toward "hyper-relevance" and emotional connection as the primary drivers of retention.
Gary Vaynerchuk, CEO of VaynerMedia, challenged the audience to rethink brand loyalty in an age of automated replenishment. He argued that when AI handles the mundane re-ordering of products, "The only thing that will stop you from getting that repeat order... will be a brand that affects you with relevance enough that you decide to go into your tech stack and change the settings."
This shift was visible across major retailers who are moving from retrospective points systems to predictive relationship models:
- Ulta Beauty is actively retooling its loyalty program to function less as a transactional scheme and more as a "relationship engine," using data to foster genuine connection rather than just discounts.
- Fabletics is now processing 70 billion data points to predict retention and churn, allowing them to intervene with relevance before a customer even considers leaving.
- Actor, Ryan Reynolds, Founder of Maximum Effort, owner of Aviation Gin and co-owner of Wrexham AFC, reinforced this by noting that "Emotional investment trumps financial investment 10 times out of 10."
For digital commerce leaders, this requires a strategy that goes beyond simple points calculation. It demands a Unified Commerce platform capable of synthesising customer data to deliver the "relevance" Vaynerchuk describes—transforming loyalty into a predictive growth engine.
Photo: Gary Vaynerchuk, Chairman VaynerX, CEO of VaynerMedia, and Creator of VeeFriends, VaynerMedia - Jason Dixson Photography.
Conclusion: The urgency of now
The takeaways from NRF 2026 present a dual challenge for European retailers. On one hand, there is the immediate need to drive operational efficiency through AI and unified commerce. On the other, there is the strategic imperative to prepare data structures for the agentic commerce wave.
The technology is no longer theoretical. As Sundar Pichai of Google stated, this is a "fundamental rewiring of technology and an incredible accelerant of human ingenuity."
To survive in a "0-click" future, your enterprise architecture must be robust; your data must be pristine; and your strategy must be consumer-obsessed.
The technology is ready. The question remains: is your organisation?
At Columbus Digital Commerce, we help retailers navigate these shifts through expert advisory, strategy, and implementation services. From PIM and data strategy to unified commerce architectures, we ensure your business is ready for what’s next.
Key takeaways:
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NRF 2026 confirmed that AI has moved from experimentation to execution, with agentic commerce emerging as a new operating model where AI actively participates across the retail value chain.
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Retailers agree that clean, structured product and customer data is now the primary constraint on AI-driven growth, making PIM and data governance strategic priorities rather than IT hygiene.
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The distinction between digital and physical commerce has effectively disappeared, forcing retailers to adopt unified commerce architectures that connect discovery, engagement, and fulfilment in real time.
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Loyalty is being redefined from transactional points programs to predictive relationship engines, powered by hyper-relevance, emotional connection, and continuous data-driven insight.
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As retailers prepare for a zero-click, agent-led future, success in 2026 will depend on disciplined data foundations, robust enterprise architecture, and a relentless focus on consumer relevance.
