#USA #New York #AI Shopping #Criteo #Commerce Intelligence

Criteo's Innovative Agentic Commerce Recommendation Service

Criteo, a renowned global platform that integrates various elements of the commerce ecosystem, has unveiled a groundbreaking service that promises to transform the experience of online shopping. Launched on February 5, 2026, the Agentic Commerce Recommendation Service is designed to enhance AI shopping assistants, allowing them to deliver accurate and relevant product recommendations inspired by genuine shopping behaviors.

In an age where AI technologies are rapidly advancing, Criteo identifies the necessity for robust recommendation systems within AI shopping assistants. Traditional methods, often relying solely on available product descriptions, fall short in delivering personalized experiences that meet consumers' dynamic needs and preferences. Criteo's innovative approach taps into powerful commerce intelligence, accessing real-time shopping behaviors instead of just static data, which dramatically improves the relevance of suggestions.

Enhancing Recommendation Relevancy by 60%

Criteo reports that its new service can achieve up to a 60% improvement in relevance compared to third-party solutions which focus exclusively on generic product details. This significant leap in performance is made possible through Criteo's impressive infrastructure, which supports around 720 million daily shoppers and $1 trillion in annual transactions, covering 4.5 billion product SKUs. Such vast data resources empower the recommendations to align more closely with actual consumer intents and interests.

Seamless Integration with AI Shopping Assistants

The Agentic Commerce Recommendation Service operates through Criteo's Model Context Protocol (MCP), seamlessly connecting shopping assistants with merchants' inventories. This direct link means that when a consumer submits a shopping query, the AI assistant can pull curated, transaction-ready product options. Here’s how the process works:

1. Shopping Request: A consumer poses a query to an AI shopping assistant looking for items that suit their needs and budget.
2. AI Assistant Query: The assistant utilizes Criteo's service to obtain relevant product data.
3. Commerce Intelligence-powered Filtering: Real-world shopping signals are employed to filter and rank product options based on individual consumer relevance, considering factors like availability and popularity.
4. Curated Results: Instead of raw catalog information, the assistant receives a concise, curated list of suggested products.
5. Personalized Experience: The AI assistant then presents these options to the consumer, aiding them in making an informed purchasing decision and facilitating checkout directly within the shopping experience.

A New Era in AI-Assisted Shopping

Criteo's service is designed to understand broader shopper intents, capable of handling both exploratory questions as well as specific requests. It even adds value by suggesting complementary items based on user interactions. As per Criteo's CEO, Michael Komasinski, the true competitive edge in this new form of commerce lies in the ability to leverage high-quality, scalable commerce data.

This service not only enhances the shopping experience for consumers but also ensures that retailers' data privacy and brand integrity are maintained, establishing a trusted framework for all stakeholders involved.

As 2026 unfolds, Criteo continues to explore partnerships with major AI platforms, promising an exciting future for how we interact with technology in retail environments. Testing is also extending to various retailers and brands.

To stay updated on the latest in AI-assisted shopping, interested readers can learn more about Criteo's offerings. Embracing such innovations denotes a major shift in the retail landscape, marking a pivotal moment where AI and commerce intelligence converge, ultimately paving the way for a smarter, more responsive shopping experience.