Commerce now lives on three shelves: physical, digital, and agentic.
And this shift is happening faster than many organizations expected.
Consumers use AI systems to research products, compare options, summarize reviews, and narrow decisions before they ever land on a product detail page (PDP). Think of AI agents as intermediaries between brands and buyers — compressing discovery into a handful of recommendations. These changes are also fully explored in Salsify’s new whitepaper, “The New Omnichannel: Winning the Digital Shelf and the Agentic Shelf.”
While you don't need to reinvent everything overnight, you do need to start building for a world where visibility is no longer enough.
If you want to get ahead of that new visibility today, here are four priorities to focus on right now.
One of the biggest issues across organizations is the “PDP cliff.”
Think about it: Most brands invest heavily in their top-performing products while the rest of the catalog suffers from inconsistent attributes, outdated copy, weak taxonomy, missing context, or incomplete retailer syndication.
That gap already hurts performance on today’s digital shelf.
In the agentic era, it becomes a liability — and here’s why. AI systems are fundamentally risk-averse. So, if product data is inconsistent, the machine is more likely to exclude your product in favor of a competitor with cleaner, more trustworthy information.
Authority matters more than visibility. Brands need to raise the quality floor across the entire catalog, not just the top-10 SKUs. Long-tail accuracy, consistency, and machine legibility are becoming competitive advantages.
The future will reward brands that are easiest for machines to understand and trust.
The second priority you can focus on is understanding context. For years, digital shelf strategy focused primarily on digital hygiene.
In today’s world, AI systems need context; they need to understand the following about a product:
Think about this as the shift from information to interpretation.
At Digital Shelf Summit (DSS) in Atlanta, presenters discussed how discovery is moving away from traditional keyword retrieval and toward conversational inquiry. Because customers are now asking questions and expecting synthesized answers, it changes the game big time. It requires a content strategy.
Machine-readable structure matters. Strategic chunking matters. Contextual relevance matters. Brands need content architectures designed for both human shoppers and AI systems operating at machine speed.
The third recommended priority is to treat product experience management (PXM) as the connective layer in between every shelf: physical, digital, and agentic.
The brands best positioned for the next decade are investing right now in:
In fact, Salsify’s Intelligence Suite was recognized as “RetailTech AI Innovation of the Year,” largely because brands are no longer looking for isolated tools. Rather, they’re eager for systems that reduce operational drag while improving quality at scale.
And improving quality on the invisible shelf is important because AI systems evaluate signals from PDPs, retailer sites, reviews, Reddit discussions, social platforms, and video content to determine which brands deserve inclusion.
Put another way, the machine is building consensus whether brands actively manage it or not.
Architect of the Growth Engine. Is that a new LinkedIn buzzword? Not quite. The final chapter of Salsify’s whitepaper focuses on something that matters just as much as the tech: the people responsible for driving digital commerce forward.
Whenever AI enters the conversation, some teams immediately worry about replacement. But think of it less like a sci-fi movie and more like that classic business fable, “Who Moved My Cheese?”
For the uninitiated, the book is about characters in a maze who get comfortable eating the same cheese every day. One day, the cheese moves. Some characters waste time complaining and waiting for the old cheese to return, while the smart ones lace up their sneakers and go find the new, better cheese.
Right now, AI and automation are moving the commerce cheese.
The old "cheese" was manual execution (i.e., spreadsheets, copying and pasting product data, and slow processes). If your team keeps working the old way, they risk getting left behind.
The Architect of the Growth Engine is a new way to embrace work. While you’re not quite handing your team a literal map to new cheese, you are removing tedious grunt work and empowering everyone to operate strategically in a three-shelf reality.
The shift toward the agentic shelf is no longer theoretical. It’s already changing how products are discovered, evaluated, and recommended.
The brands that build authority, consistency, and machine-readable context now will be far better positioned for the next decade of growth.