AI-Powered Virtual Try-On for Multi-Brand E-Commerce
● Our platform explores a different approach: a virtual twin generated from the user’s profile and photo, allowing customers to try on pieces instantly and build complete outfits directly on a lifelike preview. Instead of imagining how items might work together, shoppers can see the full look in motion before committing.
● The interface prioritizes construction over browsing. Products can be applied to the twin with a single action, while intelligent suggestions help complete the outfit without interrupting the flow. A live “Look Total” keeps track of the combined price, making it easy to move an entire outfit to checkout at once.
● Reducing uncertainty while keeping the experience calm, intuitive, and familiar to traditional e-commerce users.
This system goes beyond a basic chatbot. It can answer FAQs and product questions, retrieve real order and inventory information, and assist with workflows such as order tracking, returns, refunds, and cancellations.
Sensitive actions are protected with identity checks, configurable limits, approval workflows, and human handoff.
Built with a customer-facing chat widget, AI/RAG backend, Shopify integration, and merchant dashboard.
Merci pour cette présentation. Le projet est très intéressant, notamment parce qu’il ne se limite pas à un simple chatbot, mais intègre de véritables actions et processus métier.
J’apprécie particulièrement l’approche qui combine IA/RAG, intégration Shopify et intervention...