GOLAJO
The app transforms the shopping experience by allowing users to virtually try on and coordinate outfits across brands using AI recommendations and smart fitting tools.
Introduction
GOLAJO is a smart fashion app that helps users virtually try on and style outfits across multiple brands. By combining AI-driven recommendations with sensor-based sizing and smart fitting tools, GOLAJO offers a personalized and seamless shopping experience—anytime, anywhere.
What Does GOLAJO Do?
- GOLAJO helps users virtually try on clothes, mix and match outfits across different brands, and find the perfect fit and style—all without stepping into a fitting room.
- Using AI recommendations, sensor-based size detection, and smart mirror integration, GOLAJO makes fashion shopping more personalized, efficient, and fun for everyone.
Why GOLAJO?
Shopping for clothes online often lacks personalization, and trying on outfits in-store can be time-consuming and inconvenient. GOLAJO bridges this gap by allowing users to virtually try on clothes, coordinate cross-brand outfits, and get accurate fit suggestions—saving time, reducing returns, and making fashion more accessible and enjoyable for everyone.
Our Goal
Our goal is to redefine the fashion shopping experience by making it more personalized, efficient, and inclusive. GOLAJO aims to help users discover their perfect style, save time, and shop confidently—anytime, anywhere, without physical limitations.
User Persona
High-Fidelity
1. AI Preference Survey
During onboarding, users fill out a brief survey about their preferred styles, colors, and favorite brands. This helps the AI personalize outfit recommendations from the start.
2. Personal Color Analysis (via facial recognition)
By scanning the user's face with their phone camera, GOLAJO analyzes skin tone to recommend colors that best match their personal palette.
3. Body Measurement Scan
Using the smartphone camera, users can scan their body to receive accurate size data—improving fit predictions across brands.
4. Try-on Closet (AI Outfit Matching)
Users can save recommended outfits to "My Closet," swipe through options, and virtually try them on their own face and body using a 360° simulation. This makes outfit exploration intuitive and fun.
5. Browse by Brand (A–Z) or Category
Easily explore clothing by brand name in alphabetical order or filter by clothing type. A clean, efficient browsing experience.
6. Smart Search Function
Quickly find specific items, brands, or styles through a powerful search bar with auto-suggestions.
7. Add to Bag
When users find a match, they can instantly add it to their bag and proceed to purchase within the app.
Problem Solving
Online shopping often leaves users uncertain about fit, color compatibility, and whether a look truly suits them—especially when combining items across brands. GOLAJO solves this by providing a personalized and interactive virtual try-on experience powered by AI. From smart surveys and face/body recognition to real-time styling previews, the app empowers users to discover their ideal style with confidence.
Future Improvements
To further enhance the user experience and scalability of GOLAJO, we plan to:
- Expand diversity in training data to improve AI accuracy across body types and skin tones.
- Enable social sharing and feedback, letting users exchange style opinions with friends in-app.
- Partner with more brands globally, including local and sustainable labels, to expand wardrobe options.
- Refine 360° virtual try-on technology for more realistic fabric movement and body mapping.
- Integrate with in-store fitting rooms, allowing users to use GOLAJO with smart mirrors and body sensors for a seamless hybrid experience between digital and physical retail.