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Google supercharges UCP for the next wave of AI shopping

With new Cart, Catalog and Identity Linking capabilities, UCP now lets AI assistants manage real carts, pull live product data and honor loyalty perks without sending shoppers through clunky redirects.

By
Shubham Sawarkar
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ByShubham Sawarkar
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I’m a tech enthusiast who loves exploring gadgets, trends, and innovations. With certifications in CISCO Routing & Switching and Windows Server Administration, I bring a sharp...
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Mar 19, 2026, 12:16 PM EDT
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Colorful abstract illustration showing a blue shopping bag, magnifying glass, and chat-style cards connected by a flowing rainbow line on a light gradient background, representing AI-powered online shopping and search.
Image: Google
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Google is giving its Universal Commerce Protocol a meaningful upgrade, and the changes say a lot about where AI-powered shopping is headed next: more native “inside the chat” checkout, richer product data on demand, and loyalty benefits that follow you wherever you shop. In simple terms, UCP is evolving from a behind-the-scenes plumbing spec into the connective tissue for agentic commerce across Search, Gemini and a growing ecosystem of retail and payments partners.

If you missed the January launch noise, Universal Commerce Protocol is an open standard that lets AI agents talk directly to retailers’ systems: fetch live prices and promos, check stock, apply loyalty perks, and actually place the order – all without forcing you to jump between a dozen tabs and logins. Google co-developed it with major players like Shopify and big-box retailers, positioning UCP as a shared language between merchants, payment providers and AI surfaces rather than yet another proprietary checkout button. The big promise is that retailers still stay merchant of record and keep their own logic for things like promotions and fulfillment, while agents orchestrate the messy bits of discovery, comparison and purchase on your behalf.

The latest round of updates is very much about making AI shopping feel like, well, normal shopping – just faster. One of the headline additions is a Cart capability: agents can now save or add multiple items to a cart from a single store in one go, instead of treating each product as a disconnected mini-transaction. That aligns the AI flow with how people actually buy – think “grab everything for a weekend trip” in one shot rather than three separate checkouts – and it sets UCP up for richer scenarios like bundles, cross‑sells and post-purchase flows later on. For retailers, it also means the protocol is edging closer to full-funnel commerce, not just a glorified buy button stuck in the middle of search results.

Right behind Cart is a new Catalog capability, which is much less flashy in name but arguably more important. Instead of forcing an AI assistant to guess from stale feeds or third-party aggregators, UCP agents can now ask a retailer’s catalog directly for real-time details on things like variants, inventory and pricing when needed. That might look like Gemini asking if the black, 256GB variant of a phone is actually in stock at a nearby store, or whether the price just dipped as part of a flash sale, before it recommends that specific option. This “ask the source of truth” model is critical if users are going to trust AI shopping results, because the moment an assistant recommends an out-of-stock size or wrong price, the whole magic of agentic commerce starts to feel like vaporware.

The third big capability, Identity Linking, tackles one of the most annoying realities of online shopping: your loyalty perks and member pricing tend to vanish the second you leave a retailer’s site. With Identity Linking, UCP can recognize a shopper’s account across UCP-integrated platforms so that when you’re logged in, you still get the same member benefits – whether that’s special pricing, points accrual, or free shipping – even if you’re interacting through Google’s AI Mode in Search or the Gemini app instead of the retailer’s own app. In practice, that could mean seeing your usual loyalty discounts applied directly in a Gemini conversation when you ask for “running shoes from Brand X under $50 with member pricing,” then checking out with your preferred wallet in a couple of taps. The underlying idea is to keep the retailer–customer relationship intact while still letting AI surfaces sit in the middle as a kind of smart, trusted concierge.

Importantly, all of these capabilities are optional and composable – retailers can choose what to support and evolve at their own pace. That modularity matters because UCP is targeting everyone from digitally-native D2C brands to legacy retail giants; forcing a full, all-or-nothing implementation would be a non-starter. The spec is also open and transport-agnostic – REST, GraphQL, JSON-RPC and more are all fair game – so teams can plug it into their existing architectures rather than re‑platforming just to play in Google’s AI sandbox.

On Google’s side, the company is clear about where this is going: UCP is becoming the default integration fabric for AI shopping experiences across its properties. Google plans to keep weaving UCP capabilities into AI Mode in Search, the Gemini app and other surfaces, so that the jump from research to purchase keeps shrinking until it’s effectively invisible. Early implementations already allow native checkout from eligible U.S. retailers directly inside Google surfaces, and the roadmap points to expansion into markets like India, Indonesia and Latin America – all places where mobile‑first shopping and super‑apps have already trained users to expect streamlined flows. For shoppers, that could translate to things like planning a full travel kit or weekend grocery list in Gemini and checking out from multiple retailers without ever leaving the conversation.

To make any of this real at scale, UCP needs broad ecosystem backing, and that’s where today’s updates are paired with an important, if less glamorous, move: simplifying onboarding via Google Merchant Center. Google is rolling out a new UCP onboarding experience in Merchant Center that aims to make it much easier for retailers of all sizes to plug into agentic experiences on Google. Think less custom integration work and more guided setup, where merchants declare which UCP capabilities they want to support and let the protocol negotiate the rest with agents. For small and mid‑sized merchants, especially, that lowers the barrier from “this sounds like a big engineering project” to “this is a new channel we can actually pilot this quarter.”

The partner list is also getting more serious. Commerce platforms and infrastructure providers like Commerce Inc, Salesforce and Stripe have committed to bringing UCP into their ecosystems, which effectively turns them into multipliers for adoption. Salesforce is building native UCP support into Agentforce Commerce, so brands on its stack can light up AI‑driven shopping journeys on Google’s AI surfaces with pre‑built integrations rather than bespoke projects. Stripe, meanwhile, is positioning UCP as just one of the agentic protocols its Agentic Commerce Suite will support automatically, promising that retailers using Stripe won’t need extra integration work when UCP shows up in the mix. Combined with Shopify’s early involvement and the open‑source spec at ucp.dev, this starts to look less like a single‑vendor experiment and more like the early stages of a de facto standard for agentic commerce.

For retailers, the strategic question is shifting from “should we care about UCP?” to “how do we want AI agents to represent our brand?” UCP’s design keeps merchants in control of pricing, promotions, loyalty rules and post‑purchase workflows, but it also exposes those rules to agents in a consistent, programmable way. That opens up possibilities like dynamic bundles, personalized upsells, or even proactive service (“your order is delayed, here’s a coupon and a revised delivery window”) delivered through AI channels that are increasingly becoming the first touchpoint with customers. At the same time, it raises new operational challenges: teams will need to think about how merchandising, CRM, and AI strategy intersect when a large chunk of discovery and decision‑making is happening inside an assistant rather than on a homepage.

From a consumer point of view, the direction of travel is pretty clear. If UCP and similar efforts work as advertised, shopping through AI agents should feel more like talking to a knowledgeable store associate who already knows your preferences, loyalty status and price sensitivity, and less like wrestling with a dozen disconnected carts and logins. The Cart, Catalog and Identity Linking updates are small pieces of that much bigger picture, but they’re the kinds of unglamorous plumbing changes that quietly decide whether the AI shopping experience actually feels trustworthy and convenient. Over the next year or two, expect the phrase “agentic commerce” to move from conference keynote jargon to something shoppers experience daily – often without realizing there’s an open protocol like UCP quietly doing the heavy lifting behind the scenes.


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