Chic-Finder, an online fashion social search engine, has launched its similar named mobile application targeted towards fashion-conscious iOS users.
Wang Gang, founder of Chic-Finder, created the fashion start-up to accommodate women around the globe with the ease of finding visually similar clothing, shoes and bags that they desire according to their financial means.
"We want to bring the experience closer to the user. Using the app, users can now snap a picture of that stylish stranger, the celebrity in the magazine, expensive fashion products they see in the shopping malls or even the dress worn by a character in TV.
"They just need to upload to get instant results. From there, they can explore through the selection and find an alternative to purchase on the spot," said Wang Gang.
"It's fast and efficient as it saves the user time and frustration from having to browse the Internet for hours to find a similar look.
"Furthermore, we are affiliated with around 300 global ecommerce stores and with over a million products in our catalogue, there is bound to be something for everyone. This is also definitely faster than getting a personal stylist who will only find similar items limited to their store," he further explains.
Hoping to create a bustling and dynamic fashion community, users can choose to search, discover and create collections, shop or head on to the trending section to know more about what the majority of users are buying. With a high-tech team that's consistently improving the brain behind the technology, the algorithm is often reworked to ensure best results are delivered.
However, with chaotic backgrounds and clutter in the picture, will it still be able to generate results that are visually similar?
"Definitely," said Gang.
"We understand the importance of having a seamless search process for the user. We have spent close to a year in perfecting a technology that delivers impressive visual results even with bad conditions such as bad lighting or a messy background. The science behind the search is perceptive enough to differentiate what should be searchable," he further added.
Led by Wang Gang who has over 8 years experience in computer vision, the Chic-Finder team has a combined experience of 25 years in computer vision, software engineering, mobile development and fashion industry. Passionate about creating visual solutions that is beneficial to digital businesses, the team is constantly innovating new solutions that could help create more engagement and interaction between users and the website.