Abstract Design Statement

FashionFinder makes finding clothes easier. FashionFinder helps users search for clothing items on the internet using photos on their camera roll. A user can select an image on their phone, and the application finds the products or similar items that are in the photo. Users are also able to search products by keywords and filters and save items for later.

FashionFinder also ensures users receive the best deal possible for the items they are purchasing. The app will suggest similar products that users are browsing that have lower prices or better reviews so they don’t miss out on a better product or price.

Audience and Persona

Audience

FashionFinder is designed primarily for females aged 16 to 25, however, the app can be used by both males and females of a larger age range. Our target user is in the middle to upper class and has an interest in fashion. FashionFinder appeals to users active on social media who receive fashion inspiration from posts, and want to find specific clothing pieces from those images.

Persona

Jenna is a 20-year-old college student who loves fashion and uses social media for outfit inspiration. She often finds clothing pieces in pictures online that she wants to buy, but there is no indication of where they are from. Jenna is looking for an easier way to find clothing from pictures she sees rather than searching keywords on Google. Also, she likes to find better deals on the clothes she buys online but finds it a hassle to spend time searching through multiple websites.

“I love the top she’s wearing in this picture, but she didn’t say where it’s from and I can’t find it online. I wish there was a way to find it.”

Goals:

Find clothes she sees on social media
Get the best deals on clothes she buys
Discover new clothing pieces from multiple online retailers

Audience and Persona

Competitive Landscape

StyleHint is an app that’s main feature is using photo recognition to search for clothing items. Users can upload or take a photo and the application uses the image to find the clothing items shown. The app can only image-search for and purchase clothing from UNIQLO or GU. It also allows for keyword and filter searching and can suggest similar products. StyleHint has a sharing feature to share outfits but does not have board or lists to save items to.

Amazon Shopping is an app that allows users to shop on the Amazon market on their phone. The app utilizes keyword searching, product suggestions, and search filters. Amazon also allows items to be saved to lists and compares products’ prices and ratings for you. This app requires users to have an Amazon account so they can access their orders and saved items on other devices. It also keeps users’ search history so they can find products they viewed in the past as well as recommend similar items.

Competitive Landscape

Technical Requirements

FashionFinder will require access to WiFi, camera, photo recognition technology, in-app purchasing from outside e-commerce websites, digital import, and cloud storage capabilities. Users would be able to upload or take a photo and search for items or similar items as seen in the photo using photo recognition. A User’s photos would be saved to their account using cloud storage so that they could be accessed on other devices. The app would also allow users to search across different websites and purchase items in the app.

Technical Requirements

Possible Constraints

The photo recognition technology to allow for image searching is a possible constraint. This technology would be difficult to develop and is an essential feature of the application. Another constraint would be having in-app purchasing from outside brands. Arranging this feature with other retail websites could be difficult and expensive. However, this isn’t an essential feature of the app and could be replaced or removed.

Possible Constraints

Use Cases

I’m Person A and I want to use the app to sort clothes within their price range.
I’m Person A and I want to use the app to compare prices of similar items from different websites.
I’m Person A and I want to find suggestions for similar items based on their bowsing history in the app.

I’m Person B and I want to use the app to scan photos and find clothing items in them.
I’m Person B and I want to use the app to save products to boards.
I’m Person B and I want to use the app to filter and search for specific clothing items.

I’m Person C and I want to use the app to browse clothes from different brands.
I’m Person C and I want to find suggestions for items on different websites while browsing in the app.
I’m Person C and I want to use the app to compare prices and reviews of different items.