Streaming services like Netflix and Spotify are great at offering consumers recommendations on what they might like based on what they typically watch or listen to, and Finery is a site that aims to offer the same service in a completely different industry. The site analyzes its users' wardrobes and uses that data to recommend new clothing that they can then purchase online.
Finery analyzes users wardrobes by scanning through their online purchases. When users sign up, they enter their email addresses, and the proprietary Finery algorithm searches through their emails from the past ten years to glean what they've purchased. It then looks for patterns and offers up new clothing based on the tastes of each user. Users also have the option to link stores online catalogs to their accounts if they aren't frequent online shoppers.
Wardrobe Recommendation Sites
Finery Analyzes Users' Wardrobes to Offer Up New Clothes
Trend Themes
1. Wardrobe Analysis - Innovative technology that combines data analytics with fashion could be introduced to help consumers customize their current wardrobes.
2. Personalized Recommendations - Consumers appreciate personalized recommendations based on their individual fashion preferences and shopping history.
3. Integrated Shopping Experience - Social media is an opportunity for an integrated shopping experience, since consumers look to similar people for advice.
Industry Implications
1. Online Retail - Online fashion retailers could leverage big data to provide more accurate and tailored product recommendations to consumers.
2. Fashion Designing - Fashion designers could partner with cutting-edge technology companies to offer customized clothes that fit an individual's body shape.
3. Marketing - Companies in the marketing industry could build on the idea of personalization to offer more targeted messaging and creative content to consumers.