How meCore Uses AI to Turn ‘Vibes’ Into Personalized Style

As shoppers grow tired of generic recommendations, the AI-powered fashion platform meCore is taking a more thoughtful approach to online discovery with personalized style profiles called “Cores.”

These profiles are made to change with each user’s tastes, moods and inspirations. The platform lets people get custom wardrobe ideas from almost any visual source. Using advanced AI and a catalog of over 300,000 products from top retailers such as Bloomingdale’s, Saks Fifth Avenue, Neiman Marcus and Anthropologie, meCore helps shoppers find luxury and contemporary brands like Khaite, Veronica Beard, Zimmermann and Rag & Bone that match their unique style.

The platform was created by Dr. Golnaz Abdollahian, a tech industry expert with a Ph.D. from Purdue University and seven years of experience developing new technologies at Apple, plus leadership roles at Microsoft, Sony and Dolby.

Abdollahian launched meCore with the idea that artificial intelligence should support human individuality, not just group people into predictable categories. This belief is at the heart of the platform’s mission to “refuse to be beige.” By focusing on highly personalized curation instead of mass data collection, meCore aims to lead the conversation about the future of e-commerce, algorithm-driven discovery and real self-expression in retail.

Here, Abdollahian, tells Sourcing Journal how the platform helps in product discovery, who the target user is and what the shopping experience is like.

Sourcing Journal: What was the impetus behind founding the company? What challenges does it address?

Golnaz Abdollahian: The idea for meCore came from a gap I kept seeing as AI became increasingly capable but still fell short of truly understanding who we are and what we want at any given moment. Technology can understand what we type, what we click on and what we have purchased before, but it still has a very limited understanding of our aesthetic taste. The result is often generic recommendations and endless scrolling through options that don’t quite feel like us.

Aesthetic taste is deeply personal, ambiguous, always evolving and often difficult to articulate. You might know immediately that something feels like you without being able to describe why. Yet most discovery and recommendation systems still rely heavily on keywords, categories or purchase history.

I founded meCore to make that intuitive sense of taste understandable to AI. We are building a context layer that captures a person’s aesthetic identity and allows it to be continuously refined and applied across discovery experiences. Instead of asking people to adapt to how machines categorize the world, we want AI to develop a richer understanding of the individual.

SJ: How does the platform help with product and fashion discovery?

G.A.: MeCore lets people discover products through aesthetics and visual inspiration rather than relying primarily on traditional search and keyword guessing.

Users create what we call “Cores” from images that represent an aesthetic they love. Those images can come from almost anywhere: art, architecture, movies, travel destinations, a celebrity look, an interior or something they see in everyday life. MeCore interprets the aesthetic signals across those images and connects them with relevant products. Think of it as Shazam for vibes.

People can create multiple Cores for different moods, occasions or sides of their personality, and each Core acts as an aesthetic lens through which they can discover outfits, brands and products. They can also customize a Core through an intuitive Vibes interface, apply filters and continuously tune it as their preferences evolve.

Over time, the system also learns from these interactions to develop a broader understanding of the user’s aesthetic identity, while still keeping people in the loop and giving them control. Rather than personalization happening entirely behind the scenes, users can actively shape what the system understands about their taste, creating a strong signal of intent for brands and retailers.

This creates a very different discovery experience. Someone doesn’t need to know the name of a trend, brand, garment or even exactly what they’re looking for. They also don’t have to worry about one search changing or confusing their recommendation algorithms. They can start with a feeling or visual reference and explore products that fit that world. The goal isn’t simply to recommend more products, but to make discovery feel more personal, fun and intuitive, so people can easily find what they love.

SJ: How would you describe the user experience? Who is the target consumer?

G.A.: The experience is highly visual and designed to feel more like exploring your own taste than shopping through a traditional catalog.

People can start creating their own Cores immediately or explore Cores created by our community of creators, stylists and tastemakers. Creating a Core is easy: they upload a few images that share a similar vibe. The images don’t have to be clothing at all. They can be art, interiors, a destination, a movie still or anything that captures an aesthetic they’re drawn to. People can also choose images from our curated library or take a photo on the fly.

Within a Core, people can immediately begin discovering products and fine-tune the aesthetic further through our patent-pending Vibes interaction, which allows them to emphasize certain attributes while muting others. They can also apply traditional filters such as price, gender or brand when they want more specificity.

An important idea behind Cores is that people don’t have to have just one aesthetic. They can create different Cores for different sides of their personality, moods, occasions or inspirations, and explore Cores created by others as well. Taste isn’t static or one-dimensional, and we wanted the experience to reflect that.

Our initial focus is fashion because it is one of the clearest forms of self-expression, but the underlying idea is much broader. We all have aesthetic preferences not just in what we wear, but in how we decorate our homes, how we like to travel, the restaurants and events we choose, the movies we watch and the books we gravitate toward. Our goal is to expand into these different lifestyle categories over time.

Our target consumer is anyone who is tired of endless scrolling, has ever felt that conventional recommendations don’t quite understand them, or finds today’s personalization systems too opaque or even a little creepy.

We are starting with visually engaged consumers who already use images, mood boards, social media and other forms of inspiration to discover what they like. But meCore can also help people who aren’t sure what they are looking for by letting them explore Cores curated by stylists and tastemakers and discover what resonates with them.

Ultimately, we see personal taste becoming an important part of how people interact with AI across many categories.