At Google's annual I/O developer conference, the company unveiled a new shopping feature called Universal Cart, an AI-powered assistant that aims to transform how consumers purchase products online. The tool consolidates items from multiple retailers into a single cart, allowing users to check out once rather than juggling tabs from Etsy, Walmart, Target, and other merchants. Google describes this as making shopping 'more fun,' but the underlying technology – agentic AI that can spend money on your behalf – represents a significant shift in e-commerce.
The Universal Cart is built on Google's Universal Commerce Protocol (UCP), an open standard co-developed with major retailers including Target, Shopify, Wayfair, and Etsy. The protocol allows these retailers to operate within Google Pay while still maintaining access to customer-specific data such as loyalty programs, stored credit cards, and past purchase history. This means a shopper can see their Target Circle rewards or Wayfair credit balance directly inside the Google checkout flow.
At the heart of Universal Cart is Gemini, Google's flagship generative AI model. During a live demo, Vidhya Srinivasan, Google's VP of Ads and Commerce, showed how the AI can analyze a user's selections and take proactive actions. In one example, a shopper added a CPU and motherboard to their cart only to be notified by the AI that the two components were incompatible. In another, the AI prompted the user to switch to a different credit card to take advantage of a hidden discount. These interventions are designed to reduce friction and help consumers make better decisions.
How agentic AI changes the shopping experience
Agentic AI refers to systems that can act autonomously on behalf of a user, making decisions and executing tasks without constant human input. In the context of shopping, this means Google's AI can search for better deals, compare prices across retailers, highlight sale information, and even complete purchases automatically. The company demonstrated this earlier this year with a Chrome feature called Auto Browse, where users can show Gemini a photo of party decorations and instruct it to find and add those items to a cart from various websites.
With Universal Cart, these capabilities are now integrated into a single checkout experience. The AI taps into data from across Google's ecosystem – YouTube, Gmail, Search, and Gemini itself – to build a detailed profile of what you buy, when you buy it, and why. For example, if you purchase the same brand of toilet paper every month, Gemini can automatically add it to your cart and proceed to checkout. The goal, according to Google, is to reduce the 'digital laundry' of routine tasks and let consumers focus on more meaningful decisions.
This level of automation raises important questions about consumer consent and privacy. The AI is not just reacting to your immediate actions; it is tracking your behavior over time, predicting future purchases, and making suggestions that may benefit retailers just as much as shoppers. Google emphasizes that all actions require user permission initially, but once granted, the AI can act continuously. The company also states that users can review and adjust their preferences at any time.
Background and industry context
Google has been steadily expanding its shopping capabilities for years. The company first introduced Shopping Graph in 2020, a comprehensive database of products, merchants, and inventory data. In 2023, it launched generative AI features for Search that summarize product information and compare options. Universal Cart represents the culmination of these efforts, moving from passive information aggregation to active transaction execution.
Amazon, meanwhile, has pursued similar goals with its Amazon One palm-scanning payment system and Dash Cart for physical stores. Apple has integrated shopping into its Wallet and App Store ecosystems, though it has not yet deployed agentic AI for purchases. The retail industry as a whole is moving toward 'frictionless commerce,' where the number of clicks between desire and checkout is reduced to zero. Google's Universal Cart is a direct competitor to Amazon's Buy with Prime and Shopify's Shop Pay, both of which offer simplified checkout but lack the AI-driven decision-making that Google is now promoting.
Critics warn that automating purchases could lead to impulse spending, especially if the AI interprets vague natural language commands as purchase authorizations. For instance, telling Gemini 'I need new running shoes' might result in the AI buying a pair without evaluating fit, style, or budget. Google insists that its AI will confirm high-value or unusual purchases before completing them, but the threshold for what constitutes 'unusual' remains undefined.
Another concern is the concentration of data in Google's hands. Universal Cart consolidates not just purchase history but also browsing habits, email receipts, and YouTube product reviews. This trove of information could be used to target ads with unprecedented precision, potentially eroding the line between helpful suggestion and manipulative marketing. Google maintains that user data is anonymized and that advertisers do not receive personal information, but the company's history with data privacy continues to invite scrutiny.
Practical implications for everyday shoppers
For the average consumer, Universal Cart could simplify online shopping in tangible ways. Consider a scenario where you need to buy supplies for a birthday party: decorations from Etsy, a cake from a local bakery listed on Google Shopping, and party favors from Amazon. Currently, this would require three separate orders with multiple shipping fees and checkout processes. With Universal Cart, you could add all items to a single cart, see a combined total including tax and shipping, and complete one transaction using Google Pay.
The AI could also help you save money by automatically applying coupons, comparing prices across retailers, and suggesting better alternatives. In the demo, the AI identified that a specific credit card offered a 5% discount at a participating retailer, something the shopper might not have known. Over time, the AI learns which stores you prefer, what brands you trust, and when you typically restock household items. This predictive capability could reduce the mental load of remembering to buy essentials, but it also means that Google's algorithms effectively become your personal shopping assistant, influencing brand loyalty and purchase frequency.
Retailers stand to benefit as well. By participating in UCP, they gain access to Google's massive user base and the AI's ability to upsell and cross-sell. A customer adding a laptop to their cart might be prompted to add a mouse, a case, and extended warranty – all from the same or different retailers. The AI can also direct users to purchase from a retailer that offers faster shipping or lower prices, potentially increasing conversion rates for merchants who optimize their listings.
Technical challenges and rollout
Implementing a universal cart across multiple independent retailers requires solving complex technical problems. Each retailer has its own inventory management system, shipping rates, tax calculations, and return policies. UCP standardizes these elements through APIs that allow Google to present a unified interface while each retailer retains control over its own data. Google has been testing the protocol with select partners since late 2025 and plans to open it to more retailers later this year.
One challenge is handling returns and cancellations. If a customer buys items from three retailers in one Universal Cart transaction and wants to return one item, the refund must be processed by the original retailer while the other two purchases remain unaffected. Google says its system can handle partial refunds and will provide clear instructions for returning items to each specific merchant. Additionally, the AI will track return windows and prompt users if a deadline is approaching.
Another issue is compatibility with existing loyalty programs. While UCP allows retailers to surface loyalty points and store credit, not all systems are built to interface with Google's platform. Smaller businesses may find the integration costly or technically difficult, potentially limiting the reach of Universal Cart to larger chains. Google has committed to providing free SDKs and documentation to encourage adoption.
What this means for the future of e-commerce
The introduction of agentic AI into shopping marks a new chapter in digital commerce where machines not only recommend products but also execute transactions. Google's vision is a world where consumers can speak or type a simple request – 'I need groceries for the week' – and have the AI handle everything from list creation to delivery scheduling. Universal Cart is the first step toward that vision, focusing initially on non-perishable goods and routine purchases.
As the technology matures, we can expect more sophisticated interactions. The AI might learn your dietary restrictions and automatically exclude certain foods, or it might coordinate with smart home devices to reorder printer ink when levels are low. Google has also hinted at integrating Universal Cart with Google Assistant and Android devices, allowing voice commands like 'order more paper towels' to trigger a purchase immediately.
However, the success of Universal Cart will depend on consumer trust. People must feel confident that the AI will not make unauthorized purchases, misuse personal data, or lead to unwanted subscriptions. Google has addressed some of these concerns by offering transparency controls and purchase confirmation dialogs, but critics argue that the default settings are too permissive. The company will likely iterate on these features based on user feedback and regulatory requirements.
The e-commerce landscape is already shifting. Rivals like Amazon are investing heavily in generative AI and autonomous shopping solutions, while startups are exploring blockchain-based peer-to-peer commerce. Google's move with Universal Cart positions it as a central hub for online transactions, potentially giving it an advantage over fragmented retail experiences. Whether consumers embrace an AI that spends their money while they sleep remains to be seen, but Google is betting that convenience will win out over caution.
Source: ZDNET News