Digital Wardrobe Assistant Apps

The 'Trunkee' App Organizes Fashions, Helps with Selling and More

The 'Trunkee' app is a digital assistant solution for clothing, shoes and accessories that will enable consumers with a vast wardrobe to easily keep up with all of the various styles in their closet. The app works by letting users store all of the pieces in their collection and easily pick out personalized outfits that suit their needs or preferences. Users can also sell or donate the clothing in their collection that they no longer want or need to accelerate the turnover rate of their closet.

The 'Trunkee' app harnesses the power of machine learning by taking size preferences into account to prevent users from needing to return items because of a wrong or improper size.

Digital Closet Organization
Innovative fashion apps like Trunkee help users easily organize their wardrobe and simplify the outfit selection process through features like item storage and personalized outfit recommendations.
Machine Learning in Fashion
The use of machine learning algorithms in fashion apps, such as Trunkee, can provide consumers with customized recommendations based on size preferences and purchasing history.
Sustainable Fashion
Apps like Trunkee that enable users to sell or donate clothing they no longer want or need can contribute to a more sustainable and circular fashion industry.

Who This Affects Most

Fashion Retail
Fashion retailers can integrate machine learning technology into their apps to provide consumers with personalized recommendations and improve the overall shopping experience.
Secondhand Clothing Marketplaces
Apps like Trunkee that allow users to sell or donate clothing can benefit the second-hand clothing marketplaces by providing a new source of inventory.
Sustainable Fashion Advocacy
Advocacy groups focused on sustainable fashion can partner with apps like Trunkee to promote clothing recycling, donation, and reduce waste in the fashion industry.
SCORE
5.3 out of 10
GENDER
50% Men50% Women
MARKETTop markets: Europe
GENERATION
  • Gen Z
  • Gen Alpha
  • Gen X
  • Millennial (primary audience)
POPULARITY
Popularity 62%
Activity 88%
Freshness 9%