We are building the “Wikipedia for What to Wear.” DressCodeable connects long tail “What Do I Wear?” or apparel based searches with geographical core content and crowd-sourced answers, along with an easy to use browser widget which makes the shopping experience uniform across retailer sites. We plan to evolve the e-commerce eco system for apparel retailers.

We also plan to offer "build-able" dress codes with visual representations for companies (HR Departments), schools (districts), events (weddings, anything on eventbrite/evite/the knot, etc), restaurants and clubs (tripadvisor).

We solve the problem of "What do I wear,.....?" and place it into context.

The question of “What to wear”comes up in daily conversation, internet usage, travel. Basic searches never seem to return information for all questions, there is no cohesive source and we plan to be it. We have done extensive research into long tail searches via Google’s keyword tool and plan to have answers for people who are s...
We are building the “Wikipedia for What to Wear.” DressCodeable connects long tail “What Do I Wear?” or apparel based searches with geographical core content and crowd-sourced answers, along with an easy to use browser widget which makes the shopping experience uniform across retailer sites. We plan to evolve the e-commerce eco system for apparel retailers.

We also plan to offer "build-able" dress codes with visual representations for companies (HR Departments), schools (districts), events (weddings, anything on eventbrite/evite/the knot, etc), restaurants and clubs (tripadvisor).

We solve the problem of "What do I wear,.....?" and place it into context.

The question of “What to wear”comes up in daily conversation, internet usage, travel. Basic searches never seem to return information for all questions, there is no cohesive source and we plan to be it. We have done extensive research into long tail searches via Google’s keyword tool and plan to have answers for people who are searching for what to wear to specific events in life, we will provide answers for those searches.

Product: Long tail search queries represent individual pages on our site, each page displays visual examples that represent that search.

We are unique in that we are the only consolidated source for "what to wear" at specific locations/geo-local and for specific "dress codes".

In addition, we already have users that incorporated their wedding websites with links to our test site.

EXP: Jane 26 and is an adventurer and has done well for herself. She’s a social media goddess for her minimalistic lifestyle. Jane has been part of the DC community for some time and is always attending events at hotels across the world. She’s an avid user of the DC widget as she can browse her favorite retailers pre-filtered without unwanted styles and sizes. Jane is so busy she saves time using DC by purchasing seamlessly from multiple retailers.

EXP: Brian 34, lives in NYC. He’s busy w/ his career in Finance. His iPhone has his constant attention. His daily dress code is a suit & tie. Brian orders the same white collared shirts online. He rarely steps in any brick & mortars. Brian is to attend his cousin’s Beach Chic wedding. Luckily, her wedding site linked Beach Chic to DC and it gave Brian suggestions on what to wear to the event. He also easily purchase the suggested outfit of his choice.
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Investors

Michael Davis
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Michael Davis Davis has earned a reputation as one of the nation’s leading authorities on IT Security, business leadership, and being an entrepreneur.

Advisors

Employees

Kendra Sandsmark
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Kendra Sandsmark Contributor Sales and Graphic Design Professional
Leslie Presto
Admin
Leslie Presto a kid at heart and a neon colored experience designer