Retro

Retro is an innovative app as it makes thrifting more efficient, and personalized fashion more sustainable. We found the gap of experience for the existing fashion circulation market, where each piece is so unique that people spend so much time finding their perfect match. On the other hand, traditional personal style recommendation apps encourage excessive consumption, where users always end up buying more clothes without acknowledging the environmental impact and what they already have.

Thus, we combine traditional thrifting experience with personalized styling experience, encouraging users to re-imagine the possibility of their undesired items by buying second-hand that matches and refreshes the whole look. Further, Retro leverages the power of AI to improve the efficiency of match-making, to make it more accurate and personalized, also boosting the speed of circulation of second-hand fashion pieces.

Retro is designed with following key features to help fashion lovers effortlessly find matches to refresh some undesirable pieces, while recycling others to a new home.

Frictionless user experience: one single action of taking a photo of the clothes is required of the user to start the user flow of recycling an undesired piece. AI is present in every step of the way to help users find matches and make informed decisions in an effortless manner.   

Retro creates a positive environmental impact by its nature of reutilization of underused clothes instead of purchasing new ones. Fashion industry is one of the industries which has the most impact on the environment. Estimately, greenhouse gasses emitted by the fashion industry account for 10% of global emissions. Retro reduces the impact of fashion consumption and contributes significantly to the goal of carbon neutrality in 2050.