Google Launches Universal Commerce Protocol to Power the Agentic Shopping Era
Google released an open standard for AI agents to browse and buy across retailer inventory — a structural bid to become the connective layer of agentic commerce.
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Google released an open standard for AI agents to browse and buy across retailer inventory — a structural bid to become the connective layer of agentic commerce.
OTB Group — parent to Diesel, Maison Margiela, and Marni — has launched AI-powered virtual try-on using Google Cloud, becoming one of the most prominent luxury fashion deployments of generative AI personalization.
Physical retail has crossed a threshold: AI is running inventory, guiding staff, and deterring theft at commercial scale — six deployments already generating returns.
Almost every retailer is building toward AI-powered agentic commerce. Only half of consumers are comfortable with autonomous purchasing agents. That gap is retail's defining challenge in 2026.
Adobe Digital Insights data shows AI-driven visits to U.S. retail sites surged 393% year-over-year in Q1 2026, with AI-referred shoppers converting 42% better — marking the emergence of agentic commerce at scale.
Global retail AI reached $18.4 billion in 2026, with 90% of retailers increasing AI budgets. Inventory forecasting leads spend as AI-driven personalization lifts order values by up to 369%.
Retail AI is moving from backend inventory systems onto the physical sales floor, with store associates using real-time AI tools to make personalized product recommendations during the sale.
AI startups are attacking retail's margin problem with virtual try-on, inventory optimization, and personalization engines. The AI-in-retail market has hit $18.4 billion, with nearly 90% of retailers now deploying AI.
AI virtual try-on platforms hit mainstream deployment through Shopify integration, a Google search rollout on April 30, and luxury brand Amiri adoption—targeting the $849.9 billion in returned merchandise from 2025.