


Project
Habitual
Year
2024
Service
Product Design, Brand Identity
Habitual
Project Overview
Habitual is a customizable shopping app for all tastes, which uses algorithms to provide the best recommendations based on user preferences.
Project Overview
Habitual is a customizable shopping app for all tastes, which uses algorithms to provide the best recommendations based on user preferences.



The Problem
Make an app that adapts and recommends products to users that they are really interested in using AI.
The Problem
Make an app that adapts and recommends products to users that they are really interested in using AI.
The Solution
Designed a user-centered application from research to prototype with high fidelity designs. The brand identity was crafted to reflect warm and friendliness. The design also allowed users to wishlist products and customize their profiles.
The Solution
Designed a user-centered application from research to prototype with high fidelity designs. The brand identity was crafted to reflect warm and friendliness. The design also allowed users to wishlist products and customize their profiles.












The Result
The design process for Habitual resulted in a user-friendly and highly personalized shopping experience tailored to diverse tastes. Through user research, we identified a strong demand for seamless navigation, algorithm-driven recommendations, and customizable interfaces. The app features a clean and intuitive design, enabling users to quickly discover products aligned with their preferences. Key functionalities include customizable user profiles, wishlist management, and community-driven insights, such as trending items and peer reviews. These elements, combined with a robust recommendation engine, ensure a streamlined shopping experience that adapts dynamically to individual needs.
The Result
The design process for Habitual resulted in a user-friendly and highly personalized shopping experience tailored to diverse tastes. Through user research, we identified a strong demand for seamless navigation, algorithm-driven recommendations, and customizable interfaces. The app features a clean and intuitive design, enabling users to quickly discover products aligned with their preferences. Key functionalities include customizable user profiles, wishlist management, and community-driven insights, such as trending items and peer reviews. These elements, combined with a robust recommendation engine, ensure a streamlined shopping experience that adapts dynamically to individual needs.

