Tenqube
AIApp developmentE-commerceShopping
Tenqube aims to provide services based on lifestyle data
Company Intro Video
Highlights
Gomst beta was launched in May 2020, and as of today (November 2020) there are 15K active users across US and European region.
The average basket size per user from our beta is 14 - this number is high because users can put all products in one basket, instead of hopping from shops to shops, brands to brands.
We've recently added new feature - Virtual Try On with Mobile Camera. With this feature, users can try on products and see if the product matches their expectation.
We've recently added new feature - Virtual Try On with Mobile Camera. With this feature, users can try on products and see if the product matches their expectation.
Company Overview
Gomst : Gomst is a global fashion search engine for mobile users. It is focused on personalizing fashion discovery from over 1 million fashion items. With our proprietary engine, all fashion items are analyzed and labelled with style tags like “floral”, “sexy”, “chic”, “occasional”, and etc. And when you find the product you like, you can try it on, virtually, with Gomst AR Camera.
Problem Overview
Our target market is fashion e-commerce in European region (in particular UK and FR), and US. Fashion is one of the largest sector in e-commerce, accounting for over 30% of the total e-commerce market. And yet it is still growing.
More and more products are going online, with more and more people buying from online with their mobile phone.
But there is no easy way to find and discover fashion item: Either you have to download all fashion brand apps, or search on Google and Amazon.
But keyword-based search is not very optimal when you are just trying to discover your style. You can’t expect to find the item you’re looking for by searching “beautiful dress” or “chic pants” on Google.
Solution Overview
Gomst is a global fashion search engine. It is focused on personalizing fashion discovery from over 1 million fashion items. With our proprietary engine, all items are analyzed and labelled with style tags like “floral”, “sexy”, “chic”, “occasional”, and etc. And when you find the product you like, you can try it on with AR Camera.
We get sales-commission from our traffic redirection. We take 3%~15% from sales made through our traffic, within period window of 30 days. But we are not just into traffic redirect business. We are talking to brands for direct shipping and increasing presence among millennials in global market.
Go-to-Market Strategy and Business Model
Our go-to market strategy is app stores. Gomst is available on iOS and Android. Webservice will be released soon too.
Competitive Landscape
There has been several similar attempts – There are search engines that focus on fashion, like Lyst, and others like District and ShopStyles.
Some services focus on “search”, while others on “brands collection” and “cashback promotions.”
Gomst focuses on “discovery” based on user’s preferred style, and “AR Virtual Try-On.”
Founders' Bio
Sol Kim
Co-CEO
Majored in engineering, Sol graduated from KAIST and Seoul National University with degrees in engineering. Worked as IT equities analyst before founding the company. Developer, strategist.
KJ
Lee
Majored in engineering, graduated from POSTECH. Worked as IT equities analysts before founding the company. Versatile in many fields, he has won several awards in design and has published his own album as well. Designer, product manager.
- About Tenqube
- Website : gom.st
- Location : South Korea
- Founded year : 2014
- Company size : 10 people
- Total funding amount: $800000
- Markets: fashionmobileVirtual reality