Taelor careers
Taelor, a fashion industry start-up founded by Anya Cheng, ex Product Lead who helped build Facebook Shopping, is pleased to announce that it was recently chosen as one of the top seven finalists in the University of Chicago’s competition for entrepreneurs.
Taelor is a revolutionary new way for men to rent clothes, allowing them to look and feel great every day while also reducing their carbon footprint. The service uses a combination of Artificial Intelligence and personal stylists to select clothes for men based on their sizes and personal preferences. The clothes are shipped directly to customers, who can either wear them for two weeks and return them or purchase the clothes for up to 70% off the regular retail price. Customers then receive another box of clothes.
“Our goal is to provide individuals with stylish, everyday menswear. We believe that every day is an opportunity to look good and feel confident,” said Cheng, a former digital product lead at Facebook, eBay and Target. “And when you rent clothes instead of buying them, you not only save the time and energy of having to search and shop for clothes, but you also help the environment, too, instead of purchasing clothes that will eventually end up in a landfill.”
Cheng has a strong background in both the digital and retail space. A graduate of Northwestern University’s Integrated Marketing Communications program and the University of Chicago’s Booth School of Business, Cheng spent several years leading digital innovation teams at Facebook, eBay, Target, McDonald’s and Sears before launching Taelor.
The popularity of sustainability practices, minimalism, and no-ownership trends have caused the clothing rental business model to explode in recent years, with some analysts projecting that the Circular Fashion industry, which includes rental and resale, could earn as much as $66 billion by 2024.
abc7chicago.com/business/taelor-mens-rental-clothing-start-up-competing-for-$…
Taelor is a revolutionary new way for men to rent clothes, allowing them to look and feel great every day while also reducing their carbon footprint. The service uses a combination of Artificial Intelligence and personal stylists to select clothes for men based on their sizes and personal preferences. The clothes are shipped directly to customers, who can either wear them for two weeks and return them or purchase the clothes for up to 70% off the regular retail price. Customers then receive another box of clothes.
“Our goal is to provide individuals with stylish, everyday menswear. We believe that every day is an opportunity to look good and feel confident,” said Cheng, a former digital product lead at Facebook, eBay and Target. “And when you rent clothes instead of buying them, you not only save the time and energy of having to search and shop for clothes, but you also help the environment, too, instead of purchasing clothes that will eventually end up in a landfill.”
Cheng has a strong background in both the digital and retail space. A graduate of Northwestern University’s Integrated Marketing Communications program and the University of Chicago’s Booth School of Business, Cheng spent several years leading digital innovation teams at Facebook, eBay, Target, McDonald’s and Sears before launching Taelor.
The popularity of sustainability practices, minimalism, and no-ownership trends have caused the clothing rental business model to explode in recent years, with some analysts projecting that the Circular Fashion industry, which includes rental and resale, could earn as much as $66 billion by 2024.
abc7chicago.com/business/taelor-mens-rental-clothing-start-up-competing-for-$…
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Jamie Tsai
Jamie Yen-Lin Tsai is a creative designer and photographer. She has extensive graphic design experience in both analog and digital.
Anya Cheng
Entrapener in Silicon Valley. 15 years' product and marketing executive. Ex Facebook, eBay, Target, McDonald's. 40 Under 40. U of Chicago MBA, TEDx Talk speaker
Michelle Hung
Stanford MS bioinformatics CS focus; Software Engineer at AI E-commerce startup Taelor; proficient in Python, SQL, Java; good knowledge of C, C++, Javascript
Valuation
$0
Funded over
1 round
Latest round
Pre-Seed (Apr 2022)
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