Array AI-powered personal styling from inspiration to outfit.
Array helps people turn fashion inspiration into outfits they can actually wear.
From discovering new looks and asking an AI stylist for recommendations to refining outfits, exploring products, and visualizing them through virtual try-on, Array brings fashion discovery and decision-making into one mobile experience.
Fashion inspiration is everywhere. Turning inspiration into an outfit is not.
People save fashion references across Pinterest, social media, screenshots, and other platforms. But inspiration alone rarely answers the practical decisions that come next.
The challenge was to create a product that could bridge that gap by taking a user's inspiration, preferences, context, and intent and turning them into useful, actionable styling decisions.
Not another fashion catalog. Not a generic chatbot. Something closer to having a personal stylist in your pocket.
Meet Array. An AI stylist built around discovery.
Array brings together AI-assisted styling, fashion inspiration, product discovery, and virtual try-on in a single mobile experience.
Users can start with an idea, an occasion, a visual reference, or a particular piece of clothing. Array then helps turn that starting point into outfit directions that can be explored, adjusted, visualized, and connected with products.
Tell Array what you're looking for.
Discover outfit ideas and styling directions.
Adjust the look around your preferences and context.
Preview the direction and explore virtual try-on.
Connect the styling direction with relevant products.
An AI stylist that understands what you need.
Styling depends on context. Instead of generating generic outfit suggestions, Array lets users shape a request around an occasion, aesthetic, season, colors, specific pieces, or things they want to avoid.
The interaction becomes a styling conversation. The AI remains visual and product-focused instead of turning the experience into a text-only chatbot.
Explore Prodgrade AI ServicesYour saved inspiration becomes a starting point.
Fashion inspiration often begins with an image. A look saved from Pinterest or discovered elsewhere might capture exactly what someone wants, but recreating it can be difficult.
Array helps identify the styling direction behind that reference and lets users explore wearable variations based on the same idea.
Instead of searching endlessly for an exact match, users can explore similar silhouettes, colors, pieces, and styling combinations.
See the outfit before making the decision.
Virtual try-on moves the experience beyond abstract inspiration. Users can upload a photo and explore how an outfit direction could look on them.
That makes an outfit idea more tangible and adds another layer to the user's decision-making process.
Uploaded photos are used specifically for Array's virtual try-on experience, with privacy considerations built around how those images are handled.
Built around decisions, not endless scrolling.
Traditional shopping often starts with a catalog. Array begins one step earlier: with the outcome the user is trying to achieve.
Intent before inventory.
An occasion, idea, image, preference, or individual piece.
Turn that intent into complete outfit possibilities.
Adjust the direction around taste, context, and preferences.
Introduce relevant shopping choices at the right point in the journey.
This creates a more natural bridge between inspiration and shopping without forcing the user to begin with a SKU, category, or conventional product search.
Complex technology. Simple interactions.
Array combines AI styling, visual discovery, product recommendations, image processing, shopping experiences, and virtual try-on inside a consumer-friendly mobile interface.
The challenge wasn't simply making those capabilities work. It was making them feel like one coherent experience.
Fashion imagery remains central to the experience.
Users keep shaping an idea instead of restarting.
Advanced technology stays behind familiar interactions.
The journey is designed around visual iOS interaction.
Array shows how technically complex AI capabilities can be integrated into a mobile product without overwhelming the user experience.
Style isn't one answer. It's a conversation.
Finding an outfit is rarely linear. A user might like one element, reject another, add a constraint, remove a piece, or change direction completely.
Array was designed around that behavior. The first AI-generated result becomes a starting point rather than a final answer.
“I need something for dinner.”
“Make it more minimal.”
“Keep the shoes but change the rest.”
Try another styling direction.
Explore the final look and relevant products.
Bringing AI, fashion discovery, and shopping into one product.
Building Array required more than connecting an AI model to a mobile interface. Styling, imagery, product discovery, user preferences, integrations, and virtual try-on needed to behave as one coordinated system.
Explore API Integration ServicesIntelligence stays inside the user journey.
Product and AI actions remain synchronized.
External services connect without fragmenting UX.
Complexity stays hidden behind responsive interactions.
AI-powered fashion with user trust in mind.
Array handles personal information and user-uploaded images, making privacy an important part of the product experience.
Uploaded photos are used to support virtual try-on and are not used for facial recognition. The product also gives users controls around their data and was designed with relevant UK GDPR considerations in mind.
From “I like this” to “I could wear this.”
We built Array as a complete consumer product bringing AI styling, fashion inspiration, product discovery, and virtual try-on into one mobile experience.
Fashion discovery becomes an interactive decision journey instead of passive browsing.
From product concept to a complete AI-powered fashion experience.
Prodgrade worked across the product lifecycle, from product strategy and UI/UX to iOS engineering, AI integration, backend development, and APIs.
Array demonstrates what happens when product design, software engineering, and practical AI capabilities are brought together around a real user problem.
Have an idea where AI could change the user experience?
Tell us about the users, workflow, data, product idea, or business problem. We can help turn it into a practical product and engineering plan.
Start with the user problem.
Product, mobile, backend, APIs, and AI.