Full-stack · AI commerce
Luminara
A skincare storefront demo combining product discovery, a guided preference quiz, and an AI shopping concierge with a connected cart interface.
The overview
Luminara is the skincare storefront for my RAG-powered e-commerce concierge project. The supplied screens show a product catalog, detailed product views, a guided quiz, chat recommendations, and cart and checkout interfaces.
The problem
Product discovery can begin with a shopper’s preferences rather than an exact product name. This project explores how a conversational interface can connect those preferences to a browsable catalog.
The objectives
- Pair an editorial storefront with conversational product discovery.
- Use catalog retrieval to support relevant recommendations.
- Keep recommended products connected to the cart experience.
How it comes together
Storefront and shopping flow
A Next.js interface presents the catalog, product details, and shopping controls. The screenshot gallery follows the experience from browsing to the demo checkout interface.
Retrieval and conversation
An Express service connects MongoDB Atlas retrieval with LLM tool calling. The project documentation describes semantic search with a keyword fallback and product cards inside the conversation.
Guided discovery
The concierge includes a preference quiz and a conversational recommendation view, giving shoppers another entry point into the product catalog.
The outcome
What the work delivers
- A portfolio demo spanning storefront presentation and an AI-assisted discovery flow.
- Product recommendations presented alongside cart interactions.
A closer look
The interface in action.
Have something similar in mind?
Let’s build it together