You log in to a shopping platform. You weren’t planning to buy anything. But then, a product shows up—styled exactly to your taste, in your budget, available near you. You didn’t search. You didn’t even speak. It just appeared.
This isn’t a lucky guess. This is AI in product discovery—quietly transforming how we browse, find, and fall in love with things online.
In the past, discovery meant keywords, filters, and endless scrolling. Today, artificial intelligence powers a smarter, more intuitive system—where discovery feels personal, visual, and frictionless.
At Glance.com, we’re building AI-native commerce where products find you, not the other way around. Whether through lock screens, visual feeds, or AI-generated looks, our goal is to make discovery ambient, delightful, and human-first.
- The Evolution from Search to Discovery
Product discovery has come a long way.
Early e-commerce was built around search bars. You typed what you wanted. You scanned the results. You refined filters. Discovery was manual—structured around effort, not inspiration.
Then came AI.
AI shifts the logic from “find what you want” to “surface what fits you.” It learns:
What you click (and what you don’t)
What colors, price points, and styles you gravitate toward
How long you linger on certain categories
It then adapts the entire homepage or app flow to align with those preferences. In other words, discovery becomes predictive, not just reactive.
According to Salesforce, 56% of customers expect offers to always be personalized. Discovery is no exception.1
Glance pushes this even further by moving discovery out of the app entirely—into the lock screen, powered by real-time AI.
- Visual Discovery: Browsing with the Eyes, Not the Keyboard
Let’s be honest—most of us shop visually. We don’t want to type “flowy yellow cotton kurta under ₹2000.” We want to see it.
Visual discovery powered by AI uses:
Computer vision to analyze and tag images
Machine learning to learn user taste
Persona mapping to adjust styling
At Glance, this is central to the AI Looks experience. Users upload a selfie, select a vibe (like "Festive Fusion" or "Easy Layers"), and instantly receive scrollable, shoppable looks tailored to their style and body type.
No typing. No filtering. Just inspiration.
Pinterest’s Lens and Google Lens combined see over 1 billion visual searches monthly—a sign of how discovery is shifting to the camera, not the keyboard.2
Discovery should be fun, not functional. And AI makes that shift seamless.
- Zero-Click Discovery: How Products Find You First
The next frontier in product discovery? You don’t even have to open an app.
Glance pioneered zero-click discovery by integrating AI shopping into mobile lock screens. Users don’t search—they simply swipe.
The AI engine behind this:
Tracks engagement (what you swipe past, what you linger on)
Updates content tiles every 15 seconds
Learns from time of day, location, style preferences, and seasonality
For example, if you engaged with Indo-Western Looks at night during festival season, the next evening you might see a similar but refreshed tile—ready to shop, no app launch required.
A Deloitte study found that platforms using ambient or zero-click commerce see 30–50% higher time-on-platform and engagement metrics.3
When discovery becomes ambient, shopping becomes intuitive.
- Personalized Lookbooks and Algorithmic Styling
What if your favorite fashion platform styled you daily, like a personal assistant?
That’s what Glance’s AI-generated Looks do. Based on your selfie, persona tags (body type, occasion, vibe), and past interaction history, Glance crafts editorial-style lookbooks.
These are not random outfits. They’re:
Color-matched to your skin tone
Seasonally appropriate (e.g., cotton in summer)
Style-aligned (if you favor relaxed fits, you won’t see bodycons)
Budget-aware (based on engagement with certain price brackets)
The AI also refreshes Looks daily. So every time you check your lock screen, discovery feels new—but still familiar.
According to McKinsey, AI personalization at this level can drive 10–15% revenue lift and double repeat engagement rates.4
Discovery that’s dynamic and tailored becomes a habit—not a task.
- Contextual and Predictive Suggestions
AI in product discovery isn’t just about showing similar products. It’s about understanding context:
Is the user on a commute (mobile)?
Are they in a monsoon region (geo + weather data)?
Are festivals coming up (calendar sync)?
Have they recently bought something complementary?
Glance’s AI engine combines real-time data with predictive modeling to suggest:
Rain-friendly ethnicwear for users in Mumbai during July
Add-ons like footwear or dupattas based on previous saves
Festive bundles as soon as local engagement spikes begin
IBM reports that predictive recommendation engines increase cross-sell and upsell by up to 20% in fashion and lifestyle categories.5
Context isn’t a nice-to-have. It’s how AI turns passive scrolling into active shopping.
- Eliminating Dead Ends in Discovery
What’s the worst feeling? Finding a product you love… only to see it’s out of stock.
AI helps eliminate these discovery dead ends by:
Syncing discovery engines with live inventory
Hiding or delaying content that’s unavailable
Replacing out-of-stock products with similar, shoppable ones
Glance integrates with brand inventory APIs to ensure the Looks you see are:
Currently in stock
Available for delivery in your pin code
Updated with accurate pricing
This prevents user frustration and ensures that discovery isn’t just attractive—but actionable.
Adobe found that when discovery content was synced with inventory, bounce rates dropped by 30% and conversion rates increased by 18%.6
AI turns inspiration into action—without interruption.
- Multi-Language, Region-Specific Discovery
In India, language is as much a layer of discovery as price or category.
AI allows platforms to:
Serve content in regional languages (based on device or SIM)
Curate Looks that match local fashion preferences (e.g., chikankari in Lucknow)
Adapt CTA tone ("Shop Now" vs. "Dekhiye")
Glance is building toward multilingual discovery surfaces—where users can browse in their preferred language, see content styled for their city, and shop without needing to adjust settings.
Google’s multilingual consumer insights report found that 90% of Indian internet users prefer content in their own language.7
Localization powered by AI = wider reach, deeper relevance.
Conclusion: Product Discovery Isn’t a Funnel. It’s a Feeling.
AI is changing how we think about e-commerce.
It’s not a funnel that starts with a keyword and ends with a checkout. It’s a flowing, evolving experience—powered by AI’s ability to sense, adapt, and serve.
At Glance.com, we believe the best product discovery isn’t functional. It’s emotional. It shows up when you’re not looking. It makes you feel seen. And it leads you to something that feels just right.
Because the future of discovery isn’t search-driven. It’s AI-shaped.