Style-Conscious Smart Closets

'Tailor' Brings the Internet of Things to Consumers' Wardrobes

It's disheartening to realize how many hours get wasted agonizing over the right outfit in the morning, which is why 'Tailor,' a "smart closet" app, is taking the agony out of getting dressed. Using tiny sensors on each piece of clothing, Tailor's AI can learn a user's fashion sense and make weather-appropriate recommendations for each day's garb.

Essentially, this smart closet is the result of applying the Internet of Things ethos to clothes. Since the clothing sensors know which clothes the user wears and which they tend to leave mothballed, Tailor gains an understanding of its user's style preferences and can make recommendations based on those habits.

Tailor also holds promise for the clothing industry in the form of e-commerce. If Tailor is widely used, it will have the most up-to-date information on clothing styles, meaning that it could one day provide new clothing options to its users and also allow its users to sell their unused clothing to other buyers who would actually don them.

Internet of Things (iot) Fashion
The integration of IoT technology with clothing to create smart closets and personalized fashion recommendations.
AI-powered Wardrobe Assistants
The use of artificial intelligence to analyze user's fashion preferences and make personalized outfit recommendations.
E-commerce Fashion Platforms
The development of online platforms that provide up-to-date clothing styles and facilitate the buying and selling of used clothing.

Who This Affects Most

Fashion Technology
Opportunity for fashion tech companies to create smart closet solutions and AI-powered wardrobe assistants.
Retail and E-commerce
Potential for retailers and e-commerce platforms to integrate smart closet technology and offer personalized fashion recommendations.
Second-hand Fashion Market
Disruptive innovation opportunity in the second-hand fashion industry through the development of online platforms that connect buyers and sellers of used clothing.
SCORE
3.8 out of 10
GENDER
30% Men70% Women
MARKETTop markets: North America
GENERATION
  • Gen Z
  • Gen Alpha
  • Gen X
  • Millennial (primary audience)
POPULARITY
Popularity 37%
Activity 68%
Freshness 8%

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