All contestants:
StyleHop Corp.
Location: New York City, New York, United States, 10012, United States
Founded in: 2008
Stage: Beta (public testing)
Number of employees: 1-5
Funding history:
- Date: 07/2008, Seed: $520 k
Investors: Blackman Steele
Profitable year: 2010
Short URL: vator.co/StyleHop-Corp-Fashion-Made-Fun--Shopping-Made-Easy

StyleHop Corp.

Powering fashion forecasting with item-level consumer insight.
Startup/business
New York, United States United States
http://www.stylehop.com/enterprise
About
Video/documents
Company description

     StyleHop Our mission is to be the #1 fashion destination for wisdom-of-crowd industry analytics.


Team
Business model

THE PROBLEM: Matching supply with demand is the biggest challenge facing every fashion company today.  Fashion companies currently rely on individual merchants to determine which styles to produce and in which quantities.  It is their inconsistent qualitative judgments that contribute to the wildly erratic financial results prevalent in the industry.  Approximately $.25 of every full price dollar in fashion is lost in markdowns due to the inability to predict consumer demand accurately. 

 

THE SOLUTION:  StyleHop provides the fashion industry with a consumer-driven forecasting tool to capture value currently lost in markdowns.  Scalable, fast-turnaround forecasts designed exclusively for the fashion industry systematically improve merchant-driven demand forecasting leading to lower markdowns and increased profits. 

 

BUSINESS MODEL: StyleHop’s business model is comprised of 3 key value drivers that provide significant competitive advantage and create substantial ROI for its customers:

·          Predictive Panelists – StyleHop is creating a proprietary consumer panel leveraging StyleHop.com and agreements with other large destination websites that serve our target segments.  Our affinity panels are a competitive advantage which yield best-in-class response rates from highly screened, predictive fashion consumers.  We use an engaging forecasting game to collect the data that feeds our forecasting algorithms.

·          Proprietary Analytics – We have developed a proprietary demand forecasting methodology incorporating consumer preferences, risk and other proprietary measures. StyleHop is successfully building data history that allows us to continuously improve, validate and excel in predictive forecasting analytics.

·          Deep Industry Knowledge – Our significant insider knowledge of the fashion industry and its idiosyncrasies provides a meaningful advantage in designing, marketing and implementing a demand forecast tool that offers a significant improvement over traditional qualitative fashion forecasting.   StyleHop’s studies are web-based (no IT involvement) and designed to be simple, lightweight tools with 72-hour turnaround time.  Our studies supplement current merchant qualitative decision making and require no changes to current processes. 

Competitive advantage

    On the industry side, StyleHop has no current competition from technology players trying to improve style-level demand forecasting in short cycle fashion.  We anticipate market research firms leveraging predictive market tools may pose the biggest threat.  However, our significant insider knowledge of the fashion industry and its idiosyncrasies gives us a meaningful advantage in designing, marketing and implementing a demand forecast tool to suitably complement traditional qualitative fashion forecasting.  First-mover benefits are also available to StyleHop by successfully building data history that allows us to continuously improve, validate and excel in demand forecasting analytics versus future competition.