Case Study

Case Study

URBAN NEST - Furniture Ecommerce Responsive Website

Project Overview

This is a project to design the Urban Nest e-commerce website, offering luxury yet affordable furniture through an AI-powered, fully responsive platform that ensures a smooth, personalized shopping experience on desktop, tablet, and mobile.

Year

2025

Role

UX/UI Designer

Duration

8 weeks

Stack

Figma

Photoshop

Illustrator

Challenge

Urban Nest’s business relied mainly on offline showrooms in Hanoi and Ho Chi Minh City, limiting its ability to reach potential customers in other regions across Vietnam. As shopping behaviors rapidly shift toward e-commerce, the brand needs to digitally transform to stay relevant and competitive.

Goal

The goal is to create an e-commerce platform that not only addresses the existing challenges but also differentiates Urban Nest in the market — achieving a balance between business goals and user needs.

Design Process

Discover
Define
Ideate
UI Design

Target Audience

Urban Nest targets individuals aged 25 to 45 with medium to high income in Vietnam who are seeking a balance between luxury style and affordable pricing.

Competitor Analysis

Persona

🔍 Key findings

👉 No competitors currently apply AI-driven features such as personalized recommendations or intelligent search

👉 AR preview or room visualization isn’t used by furniture brands.

👉 Users sometimes forgets passwords, which disrupts the shopping flow.

💡How might we

❓How might we help users find furniture that fits their style effortlessly?

❓How might we help users see how furniture looks in their space?

❓How might we make login easier without passwords?

Solutions

After defining the HMW questions, I brainstormed ideas for each. Here are the results 👇

User Flow

UI Style Guide

Wireframe

UI Design

Desktop

Tablet

Mobile

Sign in page

Homepage

About us page

Contact us page

Product page

AI Assistant page

Cart page

Checkout page

Product detail page

Profile page

Order history page

404 page

UI Design

Desktop

Tablet

Mobile

Sign in page

Homepage

About us page

Contact us page

Product page

AI Assistant page

Cart page

Checkout page

Product detail page

Profile page

Order history page

404 page

Prototype

To make the design more visual and understandable, I built a desktop prototype version

View prototype

Conclusion

Due to time limitations, this case study focused on addressing two key findings: enhancing product discovery through AI-driven recommendations and improving account access flow.

Other insights, such as the AR visualization feature, will be explored in the next phase to further elevate the shopping experience.

LET'S WORK TOGETHER