Episode 142

Néstle: Agents Don't Feel a Brand, They Compute It

Gloria DeCoste
Gloria DeCoste
Former Director of Ecommerce

In this episode we talked about:

  • How machine-readable data replaces traditional storefront visibility
  • The reason repeatable purchases are leading the first wave of autonomous transactions
  • Ways to evaluate new technological capabilities based on consumer utility
  • The five essential components for staying competitive in agentic commerce
  • How to manage a content supply chain across thousands of products and retailers
  • The impact of structured attributes on brand discovery by AI agents

🎧 Listen now on Apple Podcasts, Spotify, or YouTube

Episode highlights:

03:19 – Following consumer behavior over hype

04:47 – Agentic commerce flips category dynamics

07:03 – Where agentic transactions will close first

08:31 – The early days of AI platforms racing for dominance

11:18 – The emerging role at the marketing-technology junction

18:00 – Scaling a content supply chain across thousands of SKUs

Gloria's Bottom Line: Agents don't feel brands, they compute them, so as agentic commerce takes hold first on repeatable purchases like groceries, brand visibility becomes a product-data and technology problem rather than an emotional one. The fundamentals still hold, but marketers who don't own that marketing-tech seam risk spending upper-funnel dollars that grow the category while an agent hands the conversion to a competitor.

FAQ

Gloria DeCoste is an ecommerce and marketing leader who spent 17 years at Nestlé, most recently as Director of Ecommerce. She started as a marketer at Purina and moved through brand management, digital marketing, and social media before shifting into ecommerce as the channel took hold in grocery. A through-line of her career: for roughly the last 12 years, almost every role she took didn't have an existing title — she describes her MO as raising her hand early, running into the fires, and building the best practices afterward.
It's Gloria's argument that AI agents can't be persuaded the way consumers can. When an agent needs to find whatever is relevant to a shopper's request, it reads product data and product attributes — and those sit on technology, not on emotional resonance. So brand visibility in an agentic world becomes a data and infrastructure problem. That's why she believes the intersection of marketing, messaging, and technology is where advantage will live, and why those roles should grow significantly at companies that take the shift seriously.
Repeatable purchases — household goods, coffee, toilet paper, the weekly pizza. Gloria's framing is that consumers will talk to an agent about anything, but the real question is where the transaction closes. Handing over a credit card and letting an agent build the list, complete the purchase, and have it delivered is far easier when the order looks roughly the same every week. As one of her former coworkers put it, nobody's asking an agent to pick out and buy their engagement ring.
Digital had a frontrunner affinity for luxury and beauty — think Sephora's makeup try-ons, or L'Oréal's early leadership — while grocery lagged. Agentic commerce flips that, because agents are being trusted first with repeatable actions rather than experiential or high-consideration ones. Gloria's view is that the categories once considered laggards in digital may be the earliest movers in agentic ecommerce, which reshapes who needs to prepare first.
Gloria starts with a foundation of strong brands, then layers on five blocks: good product data and structured content; strong availability and fulfillment; demand generation and retail media for outreach; data; and omnichannel orchestration to connect every touchpoint. Her caveat is that none of it functions without masterful technology and data synchronization underneath — and the companies that leap forward will be the ones that understand that and build their brands around it.
Gloria's example is GLP-1s. A consumer sees heavy upper-funnel advertising, then opens a conversation with an agent asking which option might be right for them — without naming a brand. What the agent computes may have no connection to that advertising at all, and the consumer ends up asking their doctor about a different product. The spend brought them into the category, but a competitor captured the conversion. She argues that's exactly why omnichannel measurement matters: without it, you can't tell whether upper-funnel investment converted for you or for someone else.
Gloria points to the intersection of marketing and technology, which she says most companies aren't looking at yet. As Google shifts from returning a list of websites to holding a conversation, the people who connect brand messaging to the product data and attributes that drive agent visibility become critical. On the measurement side, she notes that getting the data and visibility will be one of the hardest problems for many companies, particularly CPG brands that aren't direct to consumer.
The fundamentals hold: brand building, a great product, deep knowledge of your consumer and how the product is used, and a strong ecommerce experience with brands presented in a visible, attractive way. Gloria's caution is against overdoing it — making an experience so bespoke that it stops serving its purpose, or getting hyped about the fifth image on a product detail page without asking whether it actually drives conversion. Her summary is smart participation: don't chase bright, shiny objects, but don't overlook where consumers are genuinely converting either.

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