Introducing Live Shopper Context for AI Agents from Wunderkind

Shopping is starting to change shape. Consumers are no longer navigating every digital journey themselves. AI shopping assistants and copilots are increasingly helping them discover products, evaluate options and make decisions. And brands are building their own AI-powered experiences to make those journeys faster and more useful.

But an AI agent can only be as helpful as the customer context it can access. To make shopping truly personal, it needs to know who it’s talking to. And for brands to win, consumers need to have a personalized experience.

Most digital shopping assistants know what’s happening in the current conversation, but they don’t necessarily know what that shopper browsed last week, what’s sitting in their cart, what they’ve purchased before, or what they’re most likely to want next. And when the shopper isn’t logged in, that context becomes even harder to access.

Today, Wunderkind is changing that with Live Shopper Context for AI Agents.

Live Shopper Context for AI Agents makes the Wunderkind Context Layer callable by MCP-compatible agents through a single endpoint. It gives AI assistants access to a real-time shopper profile combining resolved identity, live and historical behavior, and intent signals, including for anonymous shoppers.

The result: agents become a personalized touchpoint for your shoppers, rather than just a generic search tool.

The Context Problem in Agentic eCommerce

For years, eCommerce personalization has largely been built around the shopper interacting directly with the brand. Someone visits a site, browses, adds something to their cart and purchases. Marketing and personalization technology observes those signals and responds.

AI agents change that equation. The system influencing a decision may increasingly be an assistant acting alongside, or on behalf of, the shopper. Agents don’t respond to traditional campaigns, they ask questions, evaluate information and act on the answers they receive.

That makes customer context critical. The problem is that most existing systems provide only part of the picture. Identity graphs can establish who someone is and CDPs can record what they browsed or bought. But an AI assistant needs to know who it’s talking to, what to recommend and when to act — while the interaction is happening.

The Wunderkind Context Layer brings those pieces together, combining resolved identity with live and historical behavior, cart and browse activity, propensity, affinity and recommendations to give AI assistants a fuller understanding of the shopper, whether they’re logged in or not.

How Live Shopper Context for AI Agents Works

Say a shopper browsed running shoes last week. They return to your site logged out and open your AI shopping assistant. Ordinarily, that conversation could start from scratch.

With Live Shopper Context for AI Agents, the assistant can access context beyond the current session. Instead of treating that returning visitor like a stranger, it can understand previous browsing activity and use shopper-specific recommendations to make the interaction more relevant.

Or imagine someone already has an item in their cart from a previous session and asks your copilot a sizing question. The assistant can access live cart state and respond based on what that individual is actually considering.

Behind those experiences is one MCP endpoint. Any MCP-compatible agent can call it to receive structured shopper context, including page views, current and historical carts, browsing sessions, item interactions, purchase and click propensity, product affinity and ranked recommendations. Session state is returned in real time, while recommendations continuously refresh.

So instead of defaulting to a generic greeting or category bestseller, assistants can respond based on the individual. And because context compounds as Wunderkind observes more events, that understanding becomes richer over time.

Where Live Shopper Context Drives Impact

The value of Live Shopper Context for AI Agents shows up in three key areas.

First, operational efficiency. Instead of building custom connections between every AI application and customer data source, brands can give MCP-compatible agents access through a single endpoint, reducing the integration work required to power new AI experiences.

Second, performance and reach. Personalization can extend beyond authenticated shoppers to anonymous visitors Wunderkind can resolve, as well as journeys mediated by AI agents. Assistants can draw on past browsing, cart activity, purchases, affinity and recommendations instead of relying solely on the current session.

Third, customer lifetime value. Propensity and affinity help AI experiences understand not just what someone did before, but what they may do next. That can make subsequent interactions more relevant, inform when an incentive is appropriate, and create greater consistency between AI assistants, onsite experiences and owned channels.

Built for the AI Experiences Brands Are Already Creating

Live Shopper Context for AI Agents isn’t about giving marketers another AI assistant. It’s about making the AI experiences they deploy more informed.

Brands can embed the capability into an onsite shopping assistant, chatbot, copilot or other MCP-compatible agent, while continuing to use Wunderkind’s existing APIs and Autonomous Marketing Platform integration channels for activation. Customer context remains governed by the brand’s existing Wunderkind access and controls. That creates a simple division of labor: your AI experience, powered by richer shopper context.

Make Your Customer Context Reachable

As more eCommerce journeys move through AI assistants and agents, simply having customer data won’t be enough. The systems influencing decisions need to be able to access the right context at the right moment.

Live Shopper Context for AI Agents makes Wunderkind’s identity, behavior and intent intelligence callable by MCP-compatible agents, helping brands deliver more personal experiences even when shoppers aren’t logged in.

Because whether a customer is browsing your site themselves, talking to your shopping assistant or sending an agent to act on their behalf, the opportunity is the same:

Know the shopper. Understand their intent. Make that context available wherever the journey happens.

Every shopper known, whether they browse or send an agent.