Insights from Shoptalk Spring 2026
Shoptalk Spring 2026 made one thing clear: retail isn’t just experimenting with AI anymore. It’s starting to reorganize around it.
But the most interesting conversations weren’t about flashy tools or one-off use cases. They were about foundations, behavior shifts, and the tradeoffs brands are already dealing with.
Here’s what stood out.
1. Clean, structured data is the starting point
This came up in almost every session.
AI isn’t the starting point. Data is.
SKIMS described structured product data as the “gate you must cross.” Gap went further, rebuilding its entire data layer specifically to support AI agents.
That’s a big shift. Product data used to sit in the background. Now it directly impacts growth.
Because without it:
- Recommendations break down
- Search results get weaker
- Personalization becomes inconsistent
- Automation doesn’t scale
If the data isn’t clean and structured, the rest doesn’t hold up.
2. Product data now needs to work across three audiences
Product listings used to be written for people.
Then they were shaped for search engines.
Now there’s a third audience: AI systems.
That changes how brands think about everything from structure to tone to consistency.
The brands getting ahead are:
- Keeping product descriptions and metadata aligned
- Maintaining a consistent voice across channels
- Thinking beyond keywords and focusing on context
The goal isn’t just to show up in results anymore. It’s to be the option that gets recommended.
3. Commerce is starting to happen inside conversations
There’s a lot of noise around “agentic commerce,” but the early examples are already telling.
- Gap is live on Google’s Gemini through the UCP protocol
- Sephora launched inside ChatGPT with loyalty integration
Traffic from these channels is still small. But conversion rates are noticeably higher than traditional sources.
The reason is straightforward. By the time someone is interacting with an assistant, they’re already closer to making a decision.
Less browsing. More intent.
It’s early, but the direction is clear: Buying is moving closer to conversation.
4. Discovery is becoming more visual and more generational
Search behavior is shifting faster than most brands are adjusting.
Pinterest shared a few numbers:
- 80 billion monthly searches, mostly visual
- 60% of weekly Gen Z users go there to shop
- 39% of Gen Z searches Pinterest before Google
That last one stands out.
For a growing group of consumers, discovery isn’t keyword-driven. It’s visual and exploratory.
That changes how products need to be presented and how brands think about search overall.
If your strategy still assumes a Google-first journey, it’s not going to hold up much longer with younger buyers.
5. Speed vs. authenticity is becoming a real tradeoff
AI makes it easier to produce content quickly. That part is clear.
But consumers still care about authenticity. Depending on the study, 50-90% say it matters to them.
So brands are finding a balance:
- Using AI to speed up internal work and production
- Keeping human-created content for storytelling and brand voice
Leaning too far either way creates problems:
- Too much automation feels generic
- Too much manual work slows everything down
The middle ground is where most teams are landing.
Where this is heading
None of these shifts are happening on their own. They all point to the same thing:
Retail is becoming more dependent on strong data, clearer context, and tighter connections between systems.
The tools are changing, but the underlying work is still the same. It just matters more now.
Where Distillery fits
What stood out across all these conversations is how much this comes down to execution.
Not ideas. Not tools. Execution.
- Structuring product data so it can actually be used across systems
- Building data layers that support new interfaces like assistants
- Connecting platforms so product, search, and customer experience stay aligned
- Helping teams move faster without breaking what’s already working
This is where a lot of teams get stuck.
And at Distillery, it’s where we’ve been spending our time- helping companies clean up the foundation, connect the pieces, and make these initiatives work in practice.
Because the opportunity isn’t just about trying new tools. It’s being ready for where things are going.
If you’re working through data, AI, or how to make these initiatives work, we’re here to help. Book a free 30-minute consultation with one of our experts today.