Agentic shopping is AI that acts on your behalf before you search: it reads your context, plans and curates, and puts the result in front of you to approve. Glance, your personal shopper, is built this way. It reads your location, the weather, local trends, upcoming occasions and, if you choose, your selfie, then shows complete, shoppable looks on your body, with native PayPal checkout for supported merchants.
Let's be honest: online shopping in 2026 should feel easier than it does. You have more tools than ever — AI assistants, recommendation engines, style quizzes, 'people also bought' carousels. And somehow the Friday-night experience of closing fifteen tabs without buying a thing is more common, not less.
The problem isn't the tools. It's the model. Every single one of them still waits for you to start. Search. Browse. Filter. The work still lands on you.
Agentic shopping is what changes when AI stops waiting.
Instead of responding to a query, it reads context before you ask:
The output isn't a list of products. It's a complete, styled look built around who you actually are — surfaced before you think to ask.
Glance describes itself as the world's first multi-agent agentic shopping platform, running across your lock screen, app, TV and favorite brand stores. This guide explains what agentic shopping means, how it works, and where it is headed.

Agentic shopping refers to AI systems that act on your behalf — not just recommending, but planning, discovering, and curating purchases based on your goals, context, and identity, without waiting for a search query. Glance, your intelligent shopping agent, is built on this model.
Here's a concrete example. You're heading to Austin next weekend. A traditional shopping experience waits for you to search 'Austin weekend outfits.' An agentic shopping system already knows: your face shape and skin tone from your selfie, the Austin forecast (79°F, partly cloudy), what's trending in Texas right now, and the dinner reservation on your calendar Saturday night. It's already generated a look. You didn't ask for it. You didn't need to.
That's the shift. Not smarter search. A different starting point entirely.
Glance is the only intelligent shopping agent doing this at scale today — across 400M+ pre-installed devices globally, with a catalogue of millions of products, surfaced before you open a single app.
Adoption is early but growing. McKinsey projects that agent-orchestrated revenue could reach $900 billion to $1 trillion in US B2C retail by 2030, a projection, not a measurement. And Adobe found AI-referred visits to US retail sites converted 31% better than other traffic during the 2025 holiday season.
Every AI shopping tool you've used before Glance is reactive by design. It waits for the trigger. You open an app. You type something. It responds. Amazon Rufus, Google Shopping, styling chatbots, recommendation carousels — all of them are sitting there, waiting for you to start the conversation.
Understanding the full proactive vs reactive AI shopping distinction is what makes Glance's approach make sense.
Reactive: You open a shopping app at 9pm and type 'white sneakers.' You get 4,000 results.
Proactive: Your phone surfaces a complete outfit — white sneakers included — at 7am, because it read tomorrow's weather (72°F, sunny), what's trending in your neighborhood, and that you've got a casual lunch on your calendar. You didn't type anything. You didn't even open an app.
The output looks similar. The experience is structurally different.
Why does that matter? Because most fashion decisions don't start as a search query. They start as a feeling. An occasion you're dressing for. A vibe you want to hit. A morning where you realise you have nothing to wear to that thing tonight. Reactive tools can only help after you have decided to look. Glance meets you earlier, before the search begins and the tab avalanche starts.
Glance is free to use, as an app and on supported phone lock screens. Here is what happens:
You can talk to Glance, but it is not a chatbot, a try-on app or a stylist following fixed rules. Every look comes from specialist agents working together on your context.
| Reactive AI (search, chatbots, recommendations) | Agentic shopping (Glance) | |
| Starting point | You initiate: type, click, browse | The agent initiates: it reads context and acts |
| Needs a query | Yes, always | No, proactive by design |
| What it reads | Keywords, clicks, purchase history | Physical features, weather, trends, occasions, lifestyle |
| Output | A list of products | Complete, shoppable looks visualized on you |
| Where it lives | A search bar or store app | An app and supported phone lock screens; iPhone through Siri (announced) |
| Checkout | Usually ends on the retailer's site | Native PayPal checkout for supported merchants |
| When it helps | After you decide to shop | Before the decision forms |
Most AI shopping tools run on a single model that tries to handle everything at once — read your preferences, match products, factor in context. The problem isn't effort. It's depth. A generalist model learns broad patterns across millions of users. It can't go deep on any individual signal.
Glance is built on a different architecture entirely. Five specialised AI agents, each trained on one specific domain, running simultaneously. Their outputs are synthesised by a central orchestration layer into one coherent result: a complete, styled look that reflects all five signals at once.
1. The Weather & Location Agent reads your real-time temperature, precipitation, UV index, and city. A rainy Chicago Tuesday requires a completely different output to a sunny Miami weekend — fabric weight, layering, coverage all change. This agent makes that call in real time.
2. The Regional Trends Agent tracks micro-trends specific to your city right now. Global trend forecasts are noise if you live in Nashville and the data is from Seoul. This agent filters to what's actually resonating where you are.
3. The Occasions Agent reads your calendar context and time of day. Dressing for a work presentation, a Saturday brunch, or a first date requires a completely different output from the same wardrobe. This agent knows the difference.
4. The Physical Features Agent decodes your selfie — face shape, skin tone, hair colour, body proportions. These inform colour harmony, silhouette selection, and proportion balance. Every look is then visualised on you, not a generic model. Not a mannequin. You.
5. The Personality & Lifestyle Agent reads your behavioral signals — what you linger on, swipe past, return to, and actually buy. It calibrates your aesthetic direction and style register over time. The system learns taste, not just clicks.
When the Physical Features Agent knows your color profile, the Regional Trends Agent knows what is hitting in your city, and the Occasions Agent knows you have a rooftop dinner Saturday, the orchestration layer does not just stack those outputs. It synthesizes them. The result reads like a look a personal stylist built for you, for that moment.
And every interaction deepens it. The more you engage, swiping, lingering, buying and skipping, the sharper each agent becomes.

Agentic shopping systems rely on several capabilities that go beyond traditional recommendation engines.
The first capability is understanding the real goal behind what you are looking for. When you describe what you need, the system interprets context, not just keywords. With Glance, you can say you need something for a rooftop dinner in Austin next weekend and get a complete look built around the heat forecast, your coloring and what is trending in that city. Not a keyword match. A contextual read.
Once your goal is clear, the agent gathers information across multiple sources. Instead of relying on a single store, it can scan product catalogs, compare prices and evaluate specifications. Glance does this across a catalog of more than 40 million products before a single result reaches your screen. You do not see the research. You see the look.
Agentic systems do not simply rank products by popularity. They evaluate items on how well they fit your personal profile. For Glance, that means your skin tone for color harmony, your silhouette preferences for fit and your occasion for relevance. The ranking logic is about you, not the average user.
Finally, agentic shopping systems help you reach a decision. Glance visualizes every look on your own body, so the question "will this work on me?" is answered before you click Buy. In September 2026 Glance also announced an integration with Siri AI on iPhone and iPad, and is developing on-device virtual try-on with Apple's on-device models, a feature the coverage describes as experimental and privacy-focused.
Visual confidence is only half of "will this work for me." The other half is sizing confidence. In September 2026, Glance announced a collaboration with True Fit to add evidence-based size and fit guidance alongside visual try-on. According to True Fit's own customer data, over 70% of fashion shoppers' questions to AI agents relate to fit and sizing. The integration is slated for the 2026 holiday season, with broader availability to True Fit's merchant network in 2027.
Here's the full journey, step by step — from the moment an agent starts reading your context to the moment a purchase actually completes.
Step 1 — Discovery. Five specialized agents read your context simultaneously — weather, regional trends, your calendar, your physical features, your behavior — and an orchestration layer combines them into one complete, styled look. This is covered in full above; it's the half most people mean when they say 'agentic shopping.' The specific behavioral signals behind this — dwell time, swipe speed, color and fabric intelligence — are broken down in more depth in Glance's discovery shopping guide.
Step 2 — Evaluation. You see the look, visualised on your own body, not a generic model. There's no guessing whether it'll fit or suit you — you're looking at yourself in it before you decide anything.
Step 3 — Checkout without leaving Glance. Once you decide you want a look, you can buy it in the same flow. Glance announced native PayPal checkout in October 2026, so you can build a cart and pay without being redirected to another site. According to the announcement, PayPal is the only partner providing native in-app checkout on Glance.
As Glance COO Mansi Jain put it: “Bringing native PayPal checkout into that experience means we can now carry consumers from the moment something catches their attention through purchase in the same flow.” For retailers, PayPal's agentic commerce services connect a merchant to multiple AI shopping experiences through one integration. The merchant keeps control of the customer relationship.
Step 4 — The wider standards behind agentic checkout. Beyond Glance, the industry is building shared rails so any agent can buy from any retailer. UCP (Google and Shopify, January 2026) lets an agent find a product, build a cart, and check out without per-retailer integrations. Visa, Mastercard, Amazon, and Stripe have all signed on to UCP. ACP (OpenAI and Stripe) covers discovery and recommendation too. Its original version let a purchase complete without leaving ChatGPT. That feature was pulled in March 2026, and ACP now hands off to the retailer's own site. AP2, Google's companion to UCP, authorizes the payment once an agent is ready to buy.
Step 5 —Where Mastercard fits. Mastercard announced Agent Connect on September 9, 2026. It gives merchants, AI agents, platforms, and payment providers one connection point to transact, and it accepts credentials from any payment network. Beginning in the United States, Glance is one of the platforms Mastercard names as expecting to leverage it. A separate layer, Mastercard Agent Pay, uses Verifiable Intent to help ensure the consumer authorized the purchase.
As Glance COO Mansi Jain put it in Mastercard's announcement: “Glance turns moments of inspiration into products consumers can find and buy, on the phones and TVs already in front of them. Agent Connect gives that discovery a trusted path to purchase and gives the whole category a common way to work together. We're thrilled to be building on it with Mastercard.”
That's the journey inside Glance: context read → look generated → look evaluated on your own body → purchase completed with PayPal. Steps 4 and 5 describe the wider standards that let other agents and merchants transact the same way.
Agentic shopping is not a concept being piloted in a lab. Glance is live in the US across several surfaces, and its October 2026 PayPal announcement brings the transaction into the same experience.
Glance is embedded across more than 60 million mobile and CTV devices, according to the PayPal announcement. Glance leadership has said the platform has about 10 million monthly users in the US, as reported by NewsBytes. In October 2026, L Catterton also announced a strategic investment in Glance to support agentic shopping and US expansion.
Glance is not the only company building agentic commerce. Google, Microsoft and Perplexity offer in-experience checkout, and Stripe, PayPal, Visa and Mastercard provide much of the payment infrastructure. Glance's place on the map is the consumer agent on apps and device surfaces.

The structural shift has already started. What's coming next isn't a new category — it's the deepening of the one Glance is already defining.
The lock screen is the most valuable real estate in mobile commerce. It's the moment before intent forms — before you've opened an app, before you've decided to shop. Glance is already there. As agentic systems mature, the lock screen doesn't become a notification layer. It becomes the primary shopping surface.
Today you still navigate product pages, add to carts, check out. The next phase is agent-to-agent commerce — your shopping agent communicates directly with retailer systems, evaluates inventory against your preferences, applies your size profile, and prepares the transaction for your one tap. The interface disappears. The outcome remains.
Glance already runs across lock screen, app, TV, and online brand stores. The next phase is true continuity — a look you started exploring on your phone follows you to your TV. A brand you noticed in your morning feed resurfaces naturally at the moment you're actually ready to buy. Intelligence that moves with you, not intelligence that resets every session.
The biggest shift in agentic commerce isn't the AI architecture. It's that physical identity — your face, your skin tone, your body — becomes the primary input rather than a preference field you fill in once and forget. Every future fashion AI that wants to be genuinely useful will have to solve the same problem Glance solved first: how to make personalisation visible before purchase.
Agentic AI is shifting online shopping from a search-and-browse experience to an outcome-driven one. Instead of manually comparing products and tracking prices, shoppers increasingly rely on intelligent agents that understand context and do the legwork.
As these systems become more context-aware and connected across devices, shopping will feel less like a task and more like a background service that works for you. The biggest changes will come from trust, depth of personalization and how well the ecosystem connects. Consumers want help narrowing choices, not to hand over every decision, so the best agents keep you in control.
That is the approach Glance takes: proactive, not autonomous. It builds the look and puts it in front of you, and you decide whether to buy.
1. What is agentic shopping?
Agentic shopping is a category of AI-powered commerce where an intelligent agent acts proactively on your behalf — discovering and curating products based on your physical features, location, weather, occasions, and lifestyle signals — without requiring a search query. Glance is the world's first multi-agent agentic shopping platform, delivering personalised, shoppable outfit looks before you ask.
2. What is agentic commerce and how is it different from regular AI shopping?
Agentic commerce is AI that acts on your behalf without being asked. Regular AI shopping — recommendation engines, chatbots, visual search — responds to queries you initiate. Agentic commerce reads your context (physical features, weather, location, calendar, trends) and surfaces outcomes before you search. The difference is the starting point: reactive AI waits for you; agentic commerce starts before you do.
How is agentic shopping different from AI assistants like Alexa for Shopping?
Alexa for Shopping, which replaced Amazon's Rufus in May 2026, is reactive: it waits for you to ask, then responds. Glance is proactive, reading weather, location, trends and occasions to surface complete, shoppable looks before you search. The structural difference is the trigger. agentic shopping anticipates your need.
4. Does agentic shopping require a search query?
No. Agentic shopping is designed to remove the search query as the starting point. Glance reads real-time signals, such as your context and environment, and shows personalized looks in the app and on supported lock screens before you type anything. You can still chat with Glance to refine a look.
5. What is agentic commerce?
"Agentic shopping" and "agentic commerce" differ only in framing, not substance: "shopping" emphasizes the consumer discovery experience, while "commerce" emphasizes the full transaction, including the payment and merchant infrastructure (UCP, ACP, AP2, Mastercard Agent Connect) that completes it. Glance operates across both halves. It handles discovery and styling directly, and its PayPal checkout, announced in October 2026, completes the transaction in the same experience. It is also one of the platforms Mastercard names as expecting to use Agent Connect.
6. What does the agentic commerce shopping journey look like from discovery to purchase?
Inside Glance, five specialized agents read your context and generate a styled look. You see it visualized on your own body, then check out with native PayPal for supported merchants without leaving Glance. Around that, UCP, ACP and AP2 help agents work across retailers, and Mastercard Agent Connect links merchants, agents and payment providers.
7. Which brand leads the agentic commerce ?
No single brand leads every layer. Google, Microsoft and Perplexity offer in-experience checkout, and Stripe, PayPal, Visa and Mastercard lead on payments. Glance is a consumer shopping agent on apps and device surfaces in the US, with native PayPal checkout for supported merchants and more than 60 million mobile and CTV devices.
8. Will AI agents replace online shopping search bars?
Not entirely, but their role is shrinking in discovery. Glance starts before the search bar, showing shoppable looks without a query. Search remains efficient for specific lookups, so it becomes the fallback for narrow needs while context becomes the default starting point.
9. Is agentic shopping the same as autonomous shopping?
No. Agentic shopping initiates action by surfacing what fits before you ask. Autonomous shopping would also complete the purchase without your approval. Glance is proactive but not autonomous: it builds the look and puts it in front of you, and you decide whether to buy.