Inspiration
Two of the largest issues surrounding the fashion industry and Aritzia are the increasing production of textile waste due to fast fashion and the inability of online consumers to accurately determine what clothing colors best suit them. This leads to a high rate of online return and a loss of potential profit. With the recent surge in social media popularity surrounding the personal color analysis to determine your complementary jewelry color and the use of this technology to color match for makeup products, we noticed a gap in the application of this technology in the fashion industry. Your Perfect Capsule Wardrobe, containing the Aritzia Personal Color Test, addresses these two issues and capitalizes on the popularity of a personalized shopping experience.
What it does
The Your Perfect Capsule Wardrobe experience begins with a Personal Color Test embedded within the Aritzia website. The Personal Color Test involves uploading an image of your face in natural lighting, followed by a short questionnaire comprising of 4 questions to filter clothing styles, clothing fit and complementary colors that best suits the customer. Upon completion of the Personal Color Test, the customer unlocks a curated capsule collection that contains personalized recommendations for various Aritzia pieces, as well as a summary of the customers' complementary color palette. The customer can directly add the recommended products to their cart and use their personal color palette to make confident purchases online. On the final page of the Personal Color Test, customers can download their capsule summary to share their personal color palette with their friends.
How we built it
Front-End: The first step of our design was to draft up the design and user flows using Figma, keeping in mind key concept like consistency (in replicating the Aritzia styles), engagement, and accessibility. After frames were completed, a front-end was developed to bring the vision to life through an HTML/CSS website. Back-End: Build a model that takes in an input image path of a person, and output their skin tone as well as recommended personal color class (one of the season). The image processing is based on Google mediapipe framework, and the classification part uses Support Vector Classification provided by scikit-learn.
Challenges we ran into
When developing our product, we encountered challenges with the use of Git and GitHub. None of have extensively used GitHub before for managing collaborations, thus, our group had to navigate through the learning process that comes with using the system. Additionally, issues such as resolving merge conflicts and pushing and pulling changes was a new process that had a learning curve. We also encountered many challenges with the making of our presentation. The time constraint of 2 to 3 minutes was a large obstacle as we had to prioritize what information we could include and what information would be left out. This required us to very succinct with our delivery.
Accomplishments that we're proud of
We are proud of our ability to generate a product that aligns with Aritzia's values and complements the current services offered by their company. We placed a great emphasis on ensuring that our product is visually cohesive with the Aritzia website and aesthetic for smooth implementation of our service. This was done using the inspect tool to truly capture the essence of Aritzia's style. We think our product addresses major issues that the fashion industry is currently facing and provides a thought-out and innovative solution, while still remaining modern and on trend. We are proud of how our group was able to capitalize on each member's individual strengths to produce the best product possible.
What we learned
Through the creation of Your Perfect Capsule Collection, we were able to learn a lot about the back-end coding process through the use of Python, how we can extract the dominant colors from an image uploaded by a consumer, building a function for image processing and training a model using SVM. We also learned a lot about the navigation in Figma and how to produce visually aesthetic images through the use of some of the more niche functions available. Finally, we learned how to navigate collaboration on GitHub to resolve merge conflicts and push and pull changes through extensive trial and error.
What's next for Your Perfect Capsule Collection
Your Perfect Capsule Collection can serve as inspiration to revolutionize the fashion e-commerce industry. Applying the foundation of an image upload and questionnaire, Aritzia can generate personalized product suggestions based on features such as body-shape and texture, and develop an outfit previewer to demonstrate how the outfit would appear on the consumer's body. Aritzia can capitalize on the online popularity of hashtags such as #CapsuleWardrobe and #ColorAnalysisTok to generate their own hashtag such as #AritziaPerfectCapsuleCollection to generate more traction on their site. Additionally, with the data being collected, Aritzia can implement additional ways to use the data and analytics to determine popular colors for product development. Further customization of the capsule collection product suggestions can be utilized through user analytics such as past user purchase history and recently viewed.
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