Shopping online has become an integral part of life for many people. But without trying on clothes before we buy, we are relying on blind luck, using the size chart provided, which varies with brands and is definitely not a close representation of one’s true figure. Consumers often end up with something that does not match their size or style, creating waste which is costly to consumers, manufacturers and the environment.
Styoolish was established with the objective of dressing everyone with a good fit and providing a happy buying experience. Our in-house developed, AI-powered, fashion matchmaker platform matches, locates and recommends the clothing that best fits the user’s input and preferences. It goes beyond conventional measurements and factors in other body attributes when determining the perfect match.
Result? A true WIN-WIN-WIN. There is no more guessing involved or any need to accept a less-than-perfect fits. Consumers can find the fashion of their choice, manufacturers face reduced costs from returned merchandise, and it also benefits to our environment as there is less environmental waste created from dumping, incinerating, excess manufacturing and transportation.
Team members
Mr Lee Yeu-kar (Quantic School of Business and Technology)
Mr Cheung Yu-wang (Alumnus, Dept. of Computer Science, CityU)
Mr Garrett Wong (University of St Andrews)
Ms Vivian Law Wing-tung (The Hong Kong University of Science and Technology)
Ms Ng Yeening (Jinan University)
Ms Cheung Ka-sin (The Hong Kong Polytechnic University)
* Person-in-charge
(Info based on the team's application form)
- CityU HK Tech 300 Seed Fund (2022)