Criteo, the worldwide platform linking the commerce ecosystem, has launched its Agentic Commerce Recommendation Service, a novel solution aimed at enhancing AI shopping assistants with precise, commerce-level product suggestions derived from Criteo’s unique commerce intelligence.

As large language model (LLM) platforms transform into AI-driven shopping aides and retailers create their own AI chatbots, the method by which consumers find, evaluate, and buy products online is experiencing a significant change. As AI-driven shopping experiences expand quickly, the demand for recommendation systems that surpass fixed product descriptions and reflect actual shopping behavior has become essential.

Criteo’s latest service fills this void by allowing AI assistants to tap into real-world shopping and transaction data, aiding in providing personalized and reliable suggestions. The firm stated that the solution is based on its previously discussed agentic commerce vision.

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Criteo's internal testing indicated that the Agentic Commerce Recommendation Service achieved as much as a 60% increase in recommendation relevance when compared to third-party methods that depend only on product descriptions. This increase is driven by Criteo’s extensive commerce data, which includes 720 million daily purchasers, $1 trillion in yearly transactions, and 4.5 billion product SKUs.

The service can be accessed via Criteo’s Model Context Protocol (MCP) and links AI-driven shopping assistants directly to merchant stock. It converts consumer inquiries into tailored, transaction-ready product suggestions, utilizing genuine purchase and browsing indicators that cannot be accessed via conventional web crawling.

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When a customer requests an AI shopping assistant for a product that matches their needs, preferences, and budget, the assistant consults Criteo’s Agentic Commerce Recommendation Service. Criteo subsequently sorts and prioritizes products by utilizing actual commerce data, considering factors like popularity, availability, and user intent. Rather than providing unprocessed catalog information, the system offers a refined selection of pertinent items.

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Michael Komasinski, Chief Executive Officer of Criteo says, “The real competitive advantage in agentic commerce will come from access to high-quality commerce data at scale. This service brings that intelligence into AI-driven shopping experiences in a way that works for the entire ecosystem, delivering relevancy for consumers while respecting retailer data, brand integrity, and platform trust.”