Style Your Aritzia

'Style Your Aritzia' is a new approach to creating an outfit catered specifically to you and sharing your personal flair for others to see!

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Inspiration

The increased popularity and success of hyper-personalized characters inspired our project idea. Additionally, the success of community content platforms like Instagram and TikTok has inspired us to give users the option to share their personal styles with others, and gain fashion inspiration from their community. Fun fact: One of the ideas that sparked our project was the movie ‘Clueless.’ In the movie, there is a scene where the main character has her wardrobe in an app and builds outfits on her body through software.

What it does

‘Style Your Aritzia’ is a project that focuses on creating one’s outfits with Aritzia products to cater to one’s specific personal skin tone and body type. This platform allows one to share their outfits designed online and be inspired by others on a social media “like” page. This page would continuously recommend posts that are similar to ones the user has liked. Such a page would allow large amounts of data to be collected on the customers of Aritzia based on what posts they decide to like and also whether they make a purchase of an item seen on someone else’s post. This creates an engaging hyper-personalized experience for online customers, constantly exposing them to new Aritzia products specifically catered for them. Each piece of Aritzia item added to a customer’s personal Aritzia closet helps Artizia analyze their aesthetics, thereby recommending similar styles and most frequently brought itemset to this customer. This aims to help Aritzia’s loyal and new customers to be free and wild with their style at no cost.

Our process

Understand the case study and identify the problem. Brainstorm different solutions to help Aritzia create better e-commerce web platforms. Propose different low-fidelity prototypes and determine the best prototype that improves customer retention and increases user engagement. Understand what data is collected under each feature, and how this data can be used to create algorithms that support customer retention and increase user engagement. Create our high-fidelity prototype. Implement our ideas using HTML, CSS, and Javascript.

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