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.
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.
Official_company_name: Website english version url:https://gom.st Founded Year:2014 Country of HQ: City of HQ: Number of full time employees:10 Equity Capital Raised(Usd) so far: Current Investor Lists:
About company/product in details
Product video url: Short description: 2018 revenue usd: Estimated 2019 revenue usd: Estimated revenue in 5 years usd: Risk management plan preparing for the worst scenario:
Current Fundraising Info
Current stage of this fundraising round: Fundraising goal of this round: Expected pre-valuation for this round(usd): Minimum investment: Amount of current commitment for this funding round (usd):
Target Buyer Info
Please write down 10 keywords in detail for your industries (ex, LivecastManagement, Broadcast Recording(VOD), Advertising Statistics): Please write down 5 type of target buyers groups (Restaurants and cafes, Independent stores, Manufactures (Packaged ingredients).): Please write down 20 companies that you want to meet to sell your products in US: Please write down 20 companies that you want to meet to sell your products in Asia:
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.
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.
To see the rest of the Tenqube pitch, join now. It's free, quick and easy.
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.
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.