Platform capabilities
A full stack for intelligent, sustainable style decisions.
The AuraLoop platform is more than a recommendation engine. It is a connected ecosystem that weaves together AI styling, AR try-on, impact intelligence, and brand tools into a seamless shopping experience tailored to tech-savvy, eco-conscious consumers.
On this page, explore how each layer—AI Style Advisor, Virtual Try-On Studio, and Sustainable Fabric Selection—works in practice. Dive into the systems that power your curated feed, and see how our technology choices align with our responsibility to the planet and the people who make your clothes.
At a glance
3
core consumer products: Advisor, Try-On, Impact.
12+
under-the-hood services powering fit, impact, and trends.
Built using a modular architecture, AuraLoop can adapt quickly as new materials, regulations, and cultural shifts reshape the fashion landscape. Our roadmap prioritizes explainability, inclusivity, and energy-aware model choices.
Features
Everything you need to shop smarter, not just faster.
Each feature of AuraLoop is designed to remove friction from getting dressed and reduce waste across the fashion system. Together, they form a fluid experience that feels more like a conversation with your future self than a checkout funnel.
AI Style Advisor
A personalized styling layer that learns from your photos, saved looks, and fit feedback to generate outfit suggestions that respect your body, budget, and boundaries.
Virtual Try-On Studio
AR-powered try-on that uses smartphone scans and computer vision to preview how garments move with your real proportions and posture, not a generic mannequin.
Sustainable Fabric Selection
Filters every recommendation through fiber, dye, and production impact data, highlighting options that meet your personal sustainability thresholds.
Explainable outfit scores
Transparent scoring that breaks down why each look is recommended, from fit probability to climate impact and trend alignment.
Wardrobe analytics dashboard
Visualize which pieces you wear the most, how your cost-per-wear evolves, and when it is time to mend, resell, or recycle.
Mood and occasion detection
Understand your calendar, local weather, and mood cues to suggest outfits that feel right for the moment—whether it is a pitch, a rave, or a reset day.
Bias-aware training process
Continuous audits against representation and fit bias to ensure our models serve a wide range of bodies, genders, and cultural expressions.
Collaborative styling spaces
Shared boards where friends, stylists, and creators can co-edit looks in real time using your AuraLoop wardrobe.
Technology layer
Under the hood: AR pipelines, ML models, and impact data.
AuraLoop's AI Style Advisor runs on a hybrid recommendation engine that blends collaborative filtering with content-based and knowledge-graph approaches. It ingests anonymized outfit history, sentiment around past purchases, and contextual information like weather, geography, and schedule to calculate what you are most likely to wear on repeat.
Our Virtual Try-On pipeline uses smartphone LiDAR (where available), depth estimation, and pose tracking to generate realistic drape simulations on your avatar. Instead of rigid templates, we map garment patterns and fabric attributes—like stretch, weight, and opacity—to ensure try-on sessions feel close to in-store fitting rooms.
On the sustainability side, we integrate lifecycle assessment databases, supplier disclosures, and third-party certifications to derive live impact scores. These scores are then surfaced in the interface as gentle nudges: swapping one material for another, suggesting local warehouses, or highlighting pre-loved alternatives that satisfy the same aesthetic brief.
How it works
A five-step loop that gets smarter with every outfit.
AuraLoop is designed as a continuous feedback loop rather than a one-off recommendation engine. The more you wear, rate, and repair, the better it understands what truly belongs in your wardrobe.
Step 1
Onboarding & calibration
Upload a few mirror selfies, sync your sizing data, and answer a short values questionnaire. AuraLoop uses this to initialize your style and sustainability profile.
Step 2
Closet mapping & goal setting
Tag your existing pieces or import from partner platforms. Set goals around capsule building, footprint reduction, or occasion dressing.
Step 3
Daily styling with live feedback
Receive curated outfits and try them on virtually. Rate comfort, confidence, and alignment with your lifestyle to continuously retrain the system.
Step 4
Smart purchasing and circular flows
When you are ready to buy, AuraLoop highlights pieces that fill genuine gaps, come from vetted partners, and are supported by repair and resale pathways.
Step 5
Impact reflection & iteration
Review monthly recaps of your wardrobe emissions, cost-per-wear improvements, and repeat outfits to celebrate progress and refine future recommendations.
