About this report:
Field report from DMS 2026 (Digital Marketing Summit), held March 24, 2026 in Seoul. The session was presented by a Nestlé global digital commerce executive, who leads e-commerce transformation across the EMEA and Asia regions. Nestlé is the world's largest FMCG company, operating in 186 countries.
1. The question that opened the room
The speaker opened by asking how many in the audience were already experiencing agentic commerce — whether at the beginning, middle, or somewhere on the journey. Only a few hands went up.
That gap was the premise of the entire session. Specifically, it was the distance between how fast the shift is actually happening and how few companies feel it yet.
Her message, in the end, was straightforward. “It’s already happening before your eyes. It’s fragmented, inconsistent, and still small-scale. But it’s there. You just haven’t labeled it agentic commerce.”
2. What agentic commerce actually means
In the old model, brands spoke directly to people. As a result, every campaign, every creative, and every funnel was designed to move the consumer — to attract attention, trigger emotion, and drive conversion.
In the agentic era, however, the consumer delegates. The agent decides. And here lies the structural break that changes everything. The agent doesn’t respond to emotion. It analyzes structured data — and only structured data.
Consequently, the funnel transforms as well. Where the human-driven funnel moves visibly from awareness to consideration to conversion, the machine-driven funnel operates largely out of sight. An intent signal is detected. Agents evaluate options, negotiate conditions, and execute a transaction. The brand either appears in that process or it doesn’t.
“If your brand cannot be understood by a machine, it will be skipped.”
If agentic commerce is still a new concept, 5 Innovations in Retail AI offers useful context on how AI is already reshaping the broader retail landscape.
3. Where Nestlé is on this journey
Nestlé describes its current position as the “assisted agentic phase” — AI supports discovery and recommendation, but full autonomous purchasing is not yet the norm. Nevertheless, by 2030, the company expects its top markets to operate within a fully agentic purchase ecosystem.
Notably, this transformation is not limited to commerce alone. It runs across the entire value chain — supply chain, procurement, finance, HR, and through to the commerce layer. The speaker leads the commerce end of that process.
So what does the problem actually look like in practice? One case made it immediately concrete.
4. The Gerber case: when good products go invisible
Nestlé’s baby food brand Gerber — popular in the US and available cross-border in Korea — was used to illustrate what happens when product data fails to communicate with an AI.
A mother types a query: “I’m transitioning my baby to solid food, but I need to make sure iron intake stays consistent.”
Under current conditions, Gerber doesn’t appear in the AI recommendation. Not because the product fails to meet the need. Rather, the issue is that the product page simply didn’t carry the data signals the AI needed to make the connection.
Nestlé’s response was immediate. Enrich every product page with every attribute that could trigger a relevant AI recommendation — nutritional data, safety profile, and even characteristics the product lacks, documented honestly, so the AI can make an accurate and trusted match.
“We’re very honest and transparent so that the AI understands there’s no risk associated with the product. That honesty is precisely what builds agent trust.”
5. Three strategic pivots Nestlé is making
5-1. Structured, machine-readable product data
Every category — pet food, coffee, infant nutrition — is being reviewed through one core question: what does an AI agent need to see in order to confidently recommend this product? As a result, attributes are being added, verified, and maintained consistently across all platforms globally.
5-2. Dynamic algorithmic pricing
In an agentic environment, static pricing will effectively disappear. This is because agents negotiate real-time deals on the shopper’s behalf — comparing, optimizing, and executing. Accordingly, Nestlé is building the pricing architecture to operate in that environment today, before it becomes a necessity. Flexibility is the competitive advantage.
5-3. Inventory reliability as a trust signal
This point surprised some in the room. An out-of-stock product doesn’t just lose a single sale. More importantly, it sends a negative signal to the agent — and the agent learns from that signal, routing future shoppers to competitors who fulfilled reliably instead. Consequently, Nestlé treats stock availability as a machine-readable trust score, not merely a supply chain metric.
These three priorities may feel familiar to anyone watching the Korean e-commerce market. The way Coupang turned delivery reliability into platform trust, and the way AliExpress disrupted the market through pricing flexibility, are direct parallels. For a deeper look at that competitive dynamic, see 2026 E-Commerce Power Struggle: How AliExpress Targeted Coupang’s Throne.
6. The Korea read
The speaker made a specific point about Korea’s readiness — one worth quoting directly.
“I think Korea is more ready than any other country on the planet.”
Her reasoning was compelling. First, Korean consumers have been delegating decisions to digital intermediaries for years. Algorithmic feeds surface content without users asking, and same-day delivery is a baseline expectation rather than a differentiator. Second, friction-free, zero-click purchasing flows are already normalized behavior.
And then there’s influencer culture. Korea arguably has the highest concentration of influencers in the world. Consumers routinely delegate product discovery and trust decisions to those voices. In the agentic model, the agent synthesizes all of that influence — reading reviews, signals, and behavioral data, and acting on them. The delegation pattern is identical. Only the intermediary has changed.
For a broader look at how Korean consumer behavior is structurally shifting, The Rise of OL-DA-MU and Korea’s New Shopping Map is worth reading alongside this piece.
7. The closing argument
The speaker closed with the kind of message that tends to get quietly ignored — and then felt urgently, too late.
Brands and platforms that fail to invest now in discoverability, reliability, and transparent data governance won’t simply lose market share. They will lose machine visibility. And in an agentic world, machine visibility is commercial existence itself.
“Raise the sense of urgency. It’s already unfolding. Don’t wait.”
Key Takeaways
- Machine readability is the new brand equity. If an AI agent can’t parse your product’s value, your product doesn’t exist in its recommendation set.
- Inventory and reliability are now marketing KPIs. Out-of-stock events damage agent trust scores, not just sales figures.
- Static pricing has an expiration date. Agentic buyers negotiate in real time. What brands need is not a pricing strategy but a pricing architecture.
- Korea’s behavioral infrastructure is already agentic-ready. The delegation instinct — from influencers to algorithms to agents — is culturally embedded.
- The funnel isn’t collapsing. It’s going underground. The decision process still happens; it just happens invisibly, in machine-to-machine space.
Field report based on direct attendance at DMS 2026, Seoul, March 24, 2026.
Session: "When AI Meets the Shopper: Nestlé and the Future of Agentic Commerce," presented by a Nestlé global digital commerce executive.