Tag: Artificial Intelligence

For the past decade, it seems that while technology has become increasingly advanced, the online shopping experience has remained largely the same: endless scrolling, reviews we don’t fully trust and price comparisons that often create more confusion than clarity. Despite improvements in logistics and payments, the core workflow—search, scroll, compare, repeat—has barely evolved. With the rise of A.I., that equilibrium is finally breaking. 

2026 marks the first true departure from the e-commerce model most consumers have grown accustomed to. For the first time, shopping journeys are no longer anchored in static catalogs or keyword searches. They’re increasingly mediated by intelligence systems that can interpret intent, synthesize options and act on behalf of the consumer.

The rise of A.I.-native shopping, accelerated and exemplified by the first truly agentic holiday shopping season, has made one thing clear: it’s no longer enough for brands to optimize for human shoppers alone. They must also optimize for the A.I. agents that increasingly discover, compare, validate and transact on those shoppers’ behalf. Retail has acquired a new operating system, and it’s powered by agency rather than search.

Agentic commerce becomes retail’s new OS

Agentic commerce represents a structural shift far beyond chatbots or plugins. Intelligent, merchant-guided agents replace the old “search-scroll-compare” workflow with curated, intent-driven journeys—cutting down on browsing time, reducing decision fatigue and unlocking conversion rates that traditional e-commerce simply can’t deliver. 

This shift addresses a well-documented pain point. A recent Accenture survey showed that 74 percent of consumers abandoned their shopping baskets in the previous three months because they felt “bombarded by content, overwhelmed by choice and frustrated by the amount of effort they need to put into making decisions.” When shoppers delegate tedious tasks to A.I. agents, the effects compound. They buy faster, return less and feel more confident in their decisions. For retailers, this does not represent incremental optimization; it is a new operating system that fundamentally changes how value is created and captured. 

The first true A.I.-powered holiday season proves the shift

The 2025 holiday season serves as a clear inflection point. Shoppers finally experienced, at scale, the convenience of A.I. handling discovery, comparison and curation, while retailers, in turn, received an unmistakable signal that the traditional commerce funnel is dissolving. One in three shoppers, and a majority of Gen Z, used A.I. tools to generate gift ideas, compare prices across stores, style outfits or build personalized wishlists. What used to require 30 open tabs now happens inside a single, adaptive conversation.

At the platform level, the signals were equally strong. A.I.-powered assistants expanded into more than 180 countries, as camera-based shopping tools reached tens of millions of users. Discovery no longer begins with a homepage or a search bar. It begins with conversations. 

Investors are taking note: more than $90 million in funding has already flowed into A.I.-commerce startups, signaling what many call the next great platform wave—one that merges the personalization of 2015’s DTC boom with the scale of 2020’s marketplace era.

The 6 trends that will define retail in 2026

GEO supplants SEO

The decline of traditional search is already underway. As A.I. agents become the primary gateway to product discovery and checkout, keyword-driven SEO will lose its central role. What matters instead is whether an A.I. system can understand a product in context—how it fits a user’s needs, preferences and constraints.

This is Generative Engine Optimization (GEO), and it will define competitive advantage for the next decade. Brands that structure their data, imagery and metadata for machine interpretation, not just human browsing, will retain visibility. Those that don’t will increasingly disappear from consideration. 

Virtual try-on and A.I. twins become the standard

Virtual try-on (VTO) isn’t a novelty anymore. Consumers are already building A.I.-powered avatars of themselves to preview outfits, assemble lookbooks and refine style preferences with automated precision. In 2026, retailers will be expected to meet shoppers inside these environments. The primary “fitting room” will be a digital twin informed by measurements, purchase history and aesthetic signals.  

Authenticity verification becomes non-negotiable

As A.I.-generated content floods retail media, trust becomes a prerequisite for discovery and recommendations. Watermarking, credentialing and authenticity scoring will increasingly determine whether a product is surfaced by A.I. engines at all. In an A.I.-mediated retail ecosystem, unverified products lose both credibility and distribution. Trust becomes a non-negotiable, not a differentiator. 

Returns enter their A.I. era

With returns expected to exceed $850 billion, the days of blanket free return policies are becoming unsustainable. A.I.-driven sizing recommendations, personalized return policies, predictive risk scoring and agent-guided resolution flows will become standard and essential to protect loyalty without eroding margins. The goal shifts from discouraging returns to preventing avoidable ones. 

Resale continues to surge

As economic pressure and cultural values converge, the resale business will continue to explode. With authenticated buyback programs, trade-in incentives and recommerce-led gifting, resale has outpaced traditional apparel by approximately five times. 

This aligns with generational preferences: 64 percent of Gen Z consumers say they are willing to pay more for environmentally sustainable products, marking resale a commercial strategy rather than a nice ethical play. 

Physical retail will evolve into A.I.-powered showrooms

Physical retail will continue its reinvention. By 2027, stores will function as data-rich, immersive showrooms where A.I. agents guide in-store paths, surface personalized recommendations and stitch together online-to-offline journeys seamlessly. The store becomes both a sensory brand experience and a fulfillment node in a unified agentic commerce system.

Where this leaves retailers

Together, these shifts point to a single conclusion: retailers now serve two customers—the human who ultimately makes the purchase and the A.I. system that helps them decide. 

Brands that go all-in on agentic commerce will regain control of the shopping experience, with agentic tools allowing them to embed their own voice, priorities and merchandising strategy directly into A.I.-guided journeys. Those that resist will increasingly compete on price alone, surfaced only when an algorithm deems them interchangeable. When merchants embrace the fact that the most important buyer in the market is no longer a person, but the A.I. that earns that person’s trust, they move back in the driver’s seat.