Auddr.ai: The Intelligent Wardrobe Assistant
How QPOI built a multi-agent AI styling engine that digitizes wardrobes and generates photorealistic outfits using Generative AI.
Duration
7 Months
Platforms
Mobile (iOS & Android)
Tech Stack
React Native (Expo), ChatGPT API, Firebase, Mixpanel
Engagement
Full Product Delivery
The Challenge
The client needed to transform a static database of user-uploaded images into a dynamic, intelligent styling engine. A simple inventory app wasn't enough; users needed to see the outfits.
Key technical hurdles included:
- Understanding Fashion Context: The AI had to respect color theory and silhouette balance.
- High-Fidelity Visualization: Generating photorealistic composite images from separate garment photos.
- Real-Time Scale: Handling high-res uploads and social interactions without lag.
QPOI's Role: Full-Stack Architecture
- Multi-Agent AI System
- Generative Visual Pipeline
- React Native Mobile App
- App Store & Play Store Delivery
AI-Driven Styling Engine
We built a system that doesn't just track clothes—it understands style.
Multi-Agent Logic
We injected a "Style Identity" system prompt and enforced a "Decision Tree" validator. This ensures the AI respects hard constraints (e.g., "no wool in summer") before generating suggestions.
Generative Visualization
Using a custom pipeline with Google Vision API and Prodia, we synthesize photorealistic outfit previews from user-uploaded garment images, reducing visualization cognitive load.
Optimistic UI & Community
We architected a social feed with optimistic UI updates for instant voting feedback, ensuring a snappy experience even on slow networks while syncing with Firestore in the background.
Beyond AI: Full Mobile Platform Engineering
Wardrobe Infrastructure
Uploading, tagging, categorising, and managing hundreds of clothing items with seamless performance and offline-first reliability. The AI relies on a strong static foundation.
Navigation & UI/UX Polish
A high-quality React Native interface with smooth transitions, fast load times, and an intuitive layout for browsing outfits, managing collections, and interacting with the feed.
Mobile Delivery & Compliance
QPOI delivered the product to both app stores with full compliance. We managed Apple's strict privacy policies (ATT), Google Play billing integration, and implemented tiered subscriptions via RevenueCat.
Business Impact
Shipped a robust, scalable mobile product. Successfully published on both iOS and Android.
RevenueCat integration enabled immediate monetization pathways with tiered subscriptions.
Generative features drove longer session times and deeper retention.
Technology Stack
Building a Consumer AI Product?
We engineer the complex AI pipelines that make simple user experiences possible.
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