How Machine Learning Improves Business Accuracy and Speed

The nAia AI Fashion Tech Platform aims to revolutionize how users discover, visualize, and shop fashion online by merging artificial intelligence, 3D garment visualization, and e-commerce into one immersive ecosystem.

The MVP (Phase 1) focuses on building a scalable web platform that enables users to:

1. Create personalized 3D avatars
2. Virtually try on garments in real-time
3. Receive AI-powered styling recommendations
4. Shop seamlessly via Shopify Headless Checkout

The ultimate goal is to deliver a personalized, data-driven, and sustainable digital fashion experience, empowering both users and designers. By leveraging AI styling intelligence, 3D visualization, and real-time engagement analytics, nAia bridges the gap between fashion creativity and cutting-edge technology positioning itself as the future of virtual fashion retail.

A marketplace required a web & mobile platform for live video shopping, enabling sellers to engage customers in real-time and drive sales through interactive live streaming. The system needed to support product showcasing, live chat, social media streaming, and seamless order management. The objective was to increase customer engagement, boost conversions, and offer a seamless shopping experience through live commerce.
This system was designed to:

• Enable sellers to conduct live streaming sessions for product demonstrations.
• Allow customers to view, interact, and purchase directly from live streams.
• Integrate with social media platforms for expanded reach.
• Facilitate real-time order and claim management.
• Support payment processing and secure transactions.
• Provide an intuitive admin dashboard for user and inventory management.

The project aims to develop a comprehensive e-commerce portal for SWP, an international photography agency specializing in school photography. The portal is designed to allow parents to view and purchase student photos, manage their children’s profiles, and communicate directly with SWP.
The development is divided into two phases. Phase 1 includes building the portal's core functionalities such as photo uploads, client and job management, access control, user roles, and basic reporting. Phase 2 focuses on implementing complete back-end services and workflows to integrate with the front-end components established in Phase 1.