Question 1

What is Google's Universal Commerce Protocol (UCP)?

Accepted Answer

Google's Universal Commerce Protocol (UCP) is an open framework designed to enable AI-driven commerce. It allows AI systems to discover, compare, and purchase products on behalf of users. Instead of traditional browsing journeys where customers search, click links, and navigate websites, UCP enables AI assistants to interpret user intent and surface products that best match that intent. For brands and retailers, this means product discovery increasingly happens inside AI interfaces rather than on traditional websites.

Question 2

What is agentic commerce?

Accepted Answer

Agentic commerce refers to a model where AI agents assist or act on behalf of shoppers throughout the buying journey. Instead of manually searching for products, customers describe what they need and AI agents interpret the request, evaluate available products, recommend options, and potentially complete the purchase. This shifts commerce from keyword-driven discovery to intent-driven recommendations.

Question 3

Why is product data becoming more important in AI commerce?

Accepted Answer

In AI-driven commerce, product data is the foundation that allows machines to understand and recommend products. Traditional product pages were written for human browsing. AI systems need structured information that explains what the product is, who it is for, how it should be used, how it compares to alternatives, and what problems it solves. If this information is missing or unclear, AI systems may not recommend the product at all.

Question 4

What product data is important for AI shopping?

Accepted Answer

AI-ready product data includes more contextual information than traditional product listings. Important data elements include product attributes and specifications, usage scenarios, customer questions and answers, care and maintenance information, certifications and materials, and compatibility and related products. The more context AI systems have, the better they can match products to customer needs.

Question 5

Who should own AI commerce initiatives inside an organization?

Accepted Answer

AI commerce affects multiple functions across an organization. Successful initiatives typically involve collaboration between marketing, e-commerce teams, product data teams, customer experience teams, and technology and architecture teams. Because AI shopping affects discovery, merchandising, customer relationships, and technology infrastructure, companies benefit from approaching it as a cross-functional initiative rather than a single department project.

Question 6

Will AI-generated product content be good enough to compete?

Accepted Answer

Yes — and the gap has closed significantly. Recent studies show AI-generated content can outperform human-written content in many contexts, partly because AI structures information in ways that machines and search systems interpret well. When guided by the right data and search intent, AI-generated product content is on par with — and sometimes better than — manually written content. Companies that dismiss it outright risk falling behind those who adopt it properly.

Question 7

Do you see the agentic commerce model working for all of e-commerce?

Accepted Answer

All of e-commerce will be affected, but not at the same pace. Commodity products will likely shift to AI-driven transactions first — where brand and discovery matter less than need fulfilment. More complex categories requiring research, reassurance, or high consideration will transition more slowly. But the underlying shift — from keyword-based discovery to intent-led recommendations — will eventually apply across all product categories.

Question 8

With transactions moving offsite, how do premium brands maintain their identity?

Accepted Answer

As transactions move into AI interfaces, brands need to ensure their values, positioning, and identity come through in every product listing and data attribute the AI has access to. The only things a brand can influence are the images, copy, and product data available to the AI. This requires a very clear internal understanding of brand positioning — and richer machine-readable context behind the scenes, without sacrificing brand expression on the surface.

Question 9

What happens to social retargeting if customers no longer visit the website?

Accepted Answer

If customers transact inside AI interfaces without visiting a website, traditional website-based retargeting stops working in the same way. However, commerce protocols like UCP are not limited to Google — social platforms like Instagram are already surfacing products algorithmically, and direct purchase inside those interfaces is a natural next step. The likely outcome is that social, discovery, and transaction become more tightly connected inside AI-powered interfaces, requiring brands to rethink their retargeting and loyalty strategies entirely.

Inside Nordic Nest's move from PIM to product orchestration

From PIM to AI-ready product data, at 217,000 product scale

In this webinar:

Jimmy Ekbäck | CTO | Occtoo

Jacob Rastad | CTO | Nordic Nest Group