Google gives AI shopping agents cart, catalog, and loyalty features

· Source: The Decoder · Field: Technology & Digital — Artificial Intelligence & Machine Learning, E-commerce & Digital Commerce · Depth: Fundamental Awareness, quick

Summary

Google has enhanced its Universal Commerce Protocol (UCP) by adding shopping cart, catalog, and identity features, aiming to streamline online purchasing for AI agents. The new shopping cart functionality enables AI agents to add multiple items to a retailer's cart simultaneously. A catalog feature provides agents with real-time product data, including prices, variants, and availability, directly from the retailer. Furthermore, an identity link ensures that logged-in shoppers using UCP platforms retain their loyalty and membership benefits, mirroring direct retailer purchases. Google intends to integrate UCP into AI Mode in Search and the Gemini app, with future plans for easier Merchant Center connectivity for smaller merchants. Key partners such as Commerce Inc, Salesforce, and Stripe are set to support UCP on their platforms, building on its earlier introduction as an open standard with major retailers and payment providers.

Key takeaway

For e-commerce platform strategists and AI product managers, Google's UCP enhancements signal a move towards standardized, AI-driven shopping experiences. Your teams should evaluate UCP integration to enable more sophisticated AI agent interactions, potentially reducing friction in the customer journey and preserving loyalty program value. Consider how these features could automate purchasing flows and enhance personalized shopping recommendations within your AI applications.

Key insights

Google's UCP expansion integrates core e-commerce functions for AI agents, standardizing AI-powered shopping experiences.

Principles

Method

UCP facilitates AI agent shopping by providing direct access to retailer catalogs, enabling multi-item cart additions, and linking customer identity for loyalty benefits.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Product Manager, AI Engineer, Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Decoder.