01
High-Performance AI Processing
Running computationally intensive deep learning models on AWS
while balancing performance and cost efficiency.
AI-Powered
Virtual Fashion Platform
Transforming fashion e-commerce with AI-driven virtual try-on, personalized recommendations, and immersive customer experiences—reducing returns and increasing buyer confidence at scale.
45%+
Reduction in Product Return Rates through accurate virtual try-on
3×
Increase in Customer Engagement Time per session
95%+
Accuracy in Body Mapping across diverse user images
A cloud-native, AI-powered virtual fashion platform was designed and implemented to seamlessly blend advanced computer vision with conversational AI — transforming fashion eCommerce through AI-driven virtual try-on, personalized recommendations, and immersive customer experiences.
THE CHALLENGE
Key technical and operational challenges
02
Complex Data Migration
Migrating Shopify product, customer, and order data into a
scalable MongoDB document-based architecture.
03
Accurate Body Mapping
Integrating and stabilizing DensePose for accurate body mapping
across diverse body types and image qualities.
04
AI Model Optimisation
Resolving model dependency conflicts while improving inference
speed, stability, and overall processing efficiency.
05
Intelligent Fashion Assistant
Building a conversational assistant that understands nuanced
preferences, body measurements, and occasion-based styling needs.
06
Real-Time Personalisation
Delivering personalised recommendations instantly without
affecting platform responsiveness or user experience.
OUR PLATFORM
AI-powered virtual fashion built for accuracy and scale
Accurate
AI
Powered
Powered
Scalable
Real Time
AI-Powered Virtual Fashion Platform
A cloud-native fashion experience combining computer vision,
photorealistic virtual try-on, conversational AI, and personalised
recommendations in one responsive platform.
THE SOLUTION
AI-powered virtual try-on and personalised fashion experiences
The platform combined IDM-VITON for photorealistic garment
visualisation, DensePose for precise body mapping, GAN-based image
synthesis, and AWS GPU infrastructure for scalable real-time AI
processing. A React frontend and OpenAI-powered fashion assistant
delivered responsive, highly personalised shopping experiences.
Photorealistic Virtual Try-On
IDM-VITON and GAN models generate realistic garment
visualisations using customer-provided images.
01
DensePose Body Mapping
High-accuracy body mapping supports diverse body types,
poses, and image inputs.
02
GPU-Optimised Infrastructure
AWS GPU-enabled services provide scalable, cost-conscious,
real-time model inference.
03
OpenAI Fashion Assistant
Conversational AI understands styling preferences, measurements,
occasions, and product needs.
04
Cloud-Native Architecture
React, FastAPI, MongoDB, and containerised microservices support
performance, scalability, and maintainability.
05
Real-Time Recommendations
Personalised fashion recommendations improve confidence and
engagement without slowing the platform.
06
Virtual
Try-On
Try-On
Accurate Body
Mapping
Mapping
AI-Powered
Personalisation
Personalisation
Real-Time
Performance
Performance
Scalable Fashion
Commerce
Commerce
HOW JTEK WORKED
01
GPU-Based AWS
Infrastructure
Designed and optimised GPU-enabled AWS infrastructure to support
scalable, real-time AI inference.
02
Shopify-to-MongoDB
ETL Pipeline
Built a robust ETL pipeline to migrate and transform Shopify data
into MongoDB while preserving data integrity.
03
DensePose &
IDM-VITON Integration
Integrated and fine-tuned DensePose and IDM-VITON for accurate,
photorealistic garment visualisation.
04
Microservices-Based
Architecture
Developed a modular backend architecture to improve scalability,
maintainability, and independent service deployment.
05
Agile Delivery &
Performance Optimisation
Used an agile, sprint-driven delivery model with continuous testing,
monitoring, and inference optimisation.
06
Merchandising Team
Collaboration
Collaborated with the client’s merchandising team to refine
recommendations using real customer and product data.
IMPACT AT A GLANCE
Key
Outcomes
45%+ Reduction
Significant reduction in apparel return rates through accurate
virtual try-on visualisation.
Improved Confidence
Improved customer confidence and satisfaction when purchasing
fashion products online.
95%+ Accuracy
High-accuracy body mapping across diverse body types, poses, and
image inputs.
Faster Decisions
Faster purchase decisions through AI-powered styling and product
recommendations.
Future-Ready Scale
A scalable AI fashion platform capable of supporting growing user
demand and heavier inference workloads.
3× Engagement
Enhanced brand differentiation through immersive, personalised
virtual shopping experiences.
TECH STACK
Technologies powering the AI-driven virtual fashion platform
React
Python
Flask
FastAPI
AWS Lambda
IDM-VITON
DensePose
GANs
PyTorch
TensorFlow
OpenAI APIs
MongoDB
OpenCV
Shopify API
Docker
JTek transformed our online shopping experience with accurate virtual try-on,
AI-powered recommendations, and real-time personalisation—helping customers
make faster decisions with greater confidence while reducing product returns.
Transform Fashion Shopping with AI-Powered Experiences.
