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Clothing Organization Apps

The 'Textile' App Can Organize Your Wardrobe and Stylishly Plan Outfits

— March 4, 2017 — Tech
Many consumers have a large wardrobe of clothing where things get lost or forgotten about, so the 'Textile' app works to organize your wardrobe and make it far simpler to know what you've got.

Using the Tinder swipe of navigation, 'Textile' works to let you completely organize your wardrobe by inputting every piece into the app. From this point users can mix and match the various garments and accessories in their ownership to create outfits. These outfits can be saved for you to browse through on a later date when you might not be sure what to wear for a specific social function.

The 'Textile' app is a fun, organizational solution to ensuring you make full use of your entire wardrobe of clothing and accessories.
Trend Themes
1. Clothing Organization Apps - Disruptive innovation opportunity: Develop a clothing organization app that uses AI to recommend outfit combinations based on personal style and occasion.
2. Wardrobe Management - Disruptive innovation opportunity: Create a platform that helps users catalog and track their wardrobe items, including purchasing suggestions for missing essentials.
3. Personal Styling Apps - Disruptive innovation opportunity: Design an app that offers personalized styling tips and recommendations based on user's body type, favorite brands, and current fashion trends.
Industry Implications
1. Fashion Retail - Disruptive innovation opportunity: Invest in technology that enables seamless integration between physical stores and digital wardrobe management platforms, enhancing the shopping experience.
2. Mobile App Development - Disruptive innovation opportunity: Develop intuitive and user-friendly clothing organization apps, catering to the needs of busy individuals looking for efficient wardrobe management solutions.
3. Artificial Intelligence - Disruptive innovation opportunity: Apply machine learning algorithms to create smart clothing organization apps that analyze user preferences and offer personalized outfit suggestions.
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