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Criteo launches AI shopping assistant using real-time data from 720M shoppers to boost recommendation accuracy by 60%.
Criteo has launched an AI-powered Agentic Commerce Recommendation Service that uses real-time shopping data from 720 million daily shoppers and $1 trillion in annual transactions to deliver more accurate, behavior-based product recommendations.
The system, powered by Criteo’s Model Context Protocol, enhances AI shopping assistants by interpreting user intent, suggesting relevant items, and improving recommendation accuracy by up to 60% compared to description-only methods.
It integrates directly with merchant inventory, supports both broad and specific queries, and enables seamless shopping actions.
The service is being tested with major LLM platforms and retailers, with Criteo positioning its vast commerce data as a key advantage in the growing field of AI-driven shopping.
Criteo lanza un asistente de compras AI que utiliza datos en tiempo real de 720M compradores para aumentar la precisión de las recomendaciones en un 60%.