DOOPS (PVT) LTDaurafit.ai

AuraFit AI
Precision AI Body Sizing

Transform photo uploads into 9+ exact body measurements in under 1.5 seconds.

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v2.4Product Version
YOLOv8 EngineCore Vision AI
SaaS / APIDelivery Model
E-CommerceTarget Industry
01 — Introduction

Eliminating apparel returns through AI precision sizing.

Online custom tailoring and fashion e-commerce brands face a massive challenge: up to 40% of apparel purchases are returned due to poor sizing. Standardized size charts fail to account for unique body contours and proportions, eating heavily into merchant profit margins.

AuraFit AI is an enterprise-grade Computer Vision and Machine Learning solution engineered for digital apparel platforms. By analyzing front and side customer photos, AuraFit AI automatically extracts 9+ accurate anatomical body and seam measurements in real time even when shoppers wear loose everyday clothing.

"AuraFit AI allows customer-first apparel brands to offer instant bespoke sizing, driving higher conversions and dramatically dropping fit-related return costs."


02 — Challenges

Overcoming real-world computer vision obstacles.

Capturing clinical-grade measurements from unguided mobile uploads requires solving distinct vision and environmental constraints.

01

Variable Lighting Conditions

Customer photos taken in indoor settings frequently suffer from harsh shadows or uneven exposure. AuraFit AI applies automated YUV color space conversion and luminance equalization to normalize input photos before edge detection.

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02

Cluttered Home Backgrounds

Background distractions degrade standard silhouette extraction. Our engine incorporates hybrid filtering (Bilateral & Non-Local Means filters) to isolate the shopper's silhouette cleanly from complex living room environments.

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03

Loose Garments & Draped Fabrics

Traditional body scanning fails when users wear loose clothing. Custom-trained YOLOv8 segmentation masks distinguish draped fabric folds from actual body landmarks to maintain accurate seam predictions.

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04

Scale & Distance Calibration

Variations in camera distance and lens focal length cause inaccurate measurement outputs. AuraFit AI utilizes dynamic scale calibration against verified height inputs or reference objects.

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AuraFit Product Feature 1
Interface Preview

Real-time YOLOv8 Body Segmentation

Instant contour mapping and landmark keypoint detection.

View YOLOv8 Segmentation Interface
AuraFit Product Feature 2
3D Mesh Rendering

Automated 3D Avatar & Seam Vectors

Multi-view cross-section fitting for 3D digital try-on.

View 3D Avatar & Seam Engine
03 — TARGET VERTICAL PACKS

Tailored for high-performance industries.

AuraFit AI ships with pre-built configurations ("vertical packs") so each business only sees and uses features essential to its operations.

PRODUCTAuraFit AI
DEVELOPERAuraFit Technologies
URLaurafit.ai
DEPLOYMENTREST API / Web SDK
COMPLIANCEGDPR Compliant Pipeline
ARCHITECTUREYOLOv8 & 3D Mesh Engine

Supported Verticals: Bespoke & Custom Tailoring, Ready-to-Wear Fashion, Athletic & Activewear, Uniforms & Workwear, Made-to-Measure Footwear, and Luxury Couture.


04 — Business Value

Measurable results for online merchants.

Key performance indicators delivered across integrated e-commerce brand storefronts.

0%Segmentation Accuracy
0%Automated Measurement Workflow
0+Tailoring Seam Points Extracted
–0%Reduction in Sizing Return Rates

By removing buyer size uncertainty, apparel brands using AuraFit AI report up to 35% higher checkout conversion rates and a significant increase in custom garment repeat purchases.

05 — Optimisation Strategy

Designed for E-Commerce Scale and AI-First Discovery.

AuraFit AI’s web presence and integration layer are optimized across standard SEO, AI-assisted search engines (AEO/GEO), and embedded web applications to maximize brand trust and merchant API adoption.

AI Vision Engine (YOLOv8)B2B SaaS IntegrationRest API & Webhook Delivery3D Body Mesh GeneratorPrivacy-First Pipeline

Developer-friendly documentation, REST endpoints, and dynamic schema markup enable frictionless integration into existing storefronts.

0 PointsKey Seam Extractions
0%GDPR Compliant Processing
0sAvg. Extraction Speed

06 — Implementation Process

5-Step Merchant Onboarding Pipeline.

Integrate into Shopify, WooCommerce, or custom React/Next.js storefronts in days with zero disturbance to active checkout traffic.

Step 01

Merchant Storefront Audit

Assessment of existing catalog structures, size charts, and checkout workflow integrations.

Step 02

API & SDK Integration

Embedding the photo capture widget or mobile WebRTC camera component into the storefront.

Step 03

Vision AI & Mesh Calibration

Configuring contour segmentation rules and garment-specific seam offsets for your apparel lines.

Step 04

Sandbox Testing & Validation

Validating extraction precision against real-world photo inputs under various lighting conditions.

Step 05

Production Launch & Optimization

Going live with real-time sizing recommendations and active return-rate monitoring analytics.

07 — Deliverables

Complete Solution Package.

AuraFit AI Core Computer Vision API & Cloud SDK→
YOLOv8s-seg Body Contour & Keypoint Detection Pipeline→
Ramanujan Circumference & Dynamic Scale Calculator→
Mobile-Responsive Web Camera & Image Upload Widget→
E-Commerce Platform Connectors (Shopify / Custom Webhook SDK)→
Privacy Engine & Automatic Image Anonymization Pipeline→
Merchant Analytics Dashboard for Sizing Trends & Return Metrics→
Technical Integration Docs & Developer Support Package→
AuraFit AI Engine — Enterprise Sizing Architecture