Nothing To Wear

Lead Author Major

Business

Faculty Mentor Name

Suzanne Walchli

Faculty Mentor Department

Business

Abstract/Artist Statement

Our product is a smart phone application that employs body recognition software to allow the user to virtually try on clothing based on their dimensions. It also aids the user to assemble outfits and choose clothing based on the weather for the day. We believe our app is a great idea because there has yet to be a fashion app that simultaneously generates different combinations of outfits to wear and analyzes the suitability of them for the day’s weather. We have identified a strong consumer need of wanting great fitting clothing while staying up to date with the latest trends. The app eliminates the hassle of trying on clothes – at home or while shopping at stores -- and empowers the user to make sure he or she looks the best with a swipe of a finger. We will acquire the body recognition technology through licensing the software. It has been developed and has been widely used in apps such as Snapchat. Also, we will acquire the weather forecast capability from pre-existing applications. We will negotiate the terms for this acquisition and expect to get a good price because there are many different weather applications on the market. After we acquire the intellectual properties stated above, we will be on our way to building our app. We will develop our own proprietary technology/formula for generating different outfits. To fund our initial app development, we will attempt to obtain crowd funding. Once we gain the funds to develop an initial prototype we will approach clothing retailers as potential partners. Because our research has shown that consumers will only pay a nominal fee for this type of app, our goal is to develop a revenue stream from promoting partner company’s clothes and also by taking advertisements.

Location

DeRosa University Center, Rooms 214-215

Start Date

30-4-2016 1:30 AM

End Date

30-4-2016 3:30 PM

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Apr 30th, 1:30 AM Apr 30th, 3:30 PM

Nothing To Wear

DeRosa University Center, Rooms 214-215

Our product is a smart phone application that employs body recognition software to allow the user to virtually try on clothing based on their dimensions. It also aids the user to assemble outfits and choose clothing based on the weather for the day. We believe our app is a great idea because there has yet to be a fashion app that simultaneously generates different combinations of outfits to wear and analyzes the suitability of them for the day’s weather. We have identified a strong consumer need of wanting great fitting clothing while staying up to date with the latest trends. The app eliminates the hassle of trying on clothes – at home or while shopping at stores -- and empowers the user to make sure he or she looks the best with a swipe of a finger. We will acquire the body recognition technology through licensing the software. It has been developed and has been widely used in apps such as Snapchat. Also, we will acquire the weather forecast capability from pre-existing applications. We will negotiate the terms for this acquisition and expect to get a good price because there are many different weather applications on the market. After we acquire the intellectual properties stated above, we will be on our way to building our app. We will develop our own proprietary technology/formula for generating different outfits. To fund our initial app development, we will attempt to obtain crowd funding. Once we gain the funds to develop an initial prototype we will approach clothing retailers as potential partners. Because our research has shown that consumers will only pay a nominal fee for this type of app, our goal is to develop a revenue stream from promoting partner company’s clothes and also by taking advertisements.