ShopperBoard launches app with funding from Rebright Partners

Touting itself as a Pinterest for shopping, ShopperBoard is now available on iOS and Android devices alongside its web platform

shopperboard

Singapore-based startup and Echelon 2014 alumnus ShopperBoard has today announced that it has launched the namesake mobile app on iOS and Android devices.

The company, which is incubated under NTUitive, had earlier received its first round of funding from Rebright Partners. While Wilson Ng, Head of Communications, ShopperBoard, declined to disclose the amount, he shared that the funds will be used to boost hiring and marketing efforts.

Also Read: Eat, pray, shop: Indonesian e-commerce during Ramadan

Founded in October 2013, ShopperBoard was first launched as a web-based platform the very same month. It acts as a one-stop aggregator for shoppers to browse their favourite e-stores and follow fellow style-makers. Furthermore, with a bookmarklet, users can add items from any online store. The mobile app will also support this feature with an in-app browser.

founders

L-R: Khur Boon Kgim, Richard Kok and Wilson Ng

According to an official release, ShopperBoard claims to have achieved a monthly user growth rate of 20 per cent without “active marketing”. Ng further declined to share how many users there are on the platform, but added that most of these users are from Singapore.

Furthermore, shoppers are adding more than 5,000 new product saves every month. At the moment, there are more than 60,000 user-curated products and more than 1,000 store pages on the platform. These stores include ASOS, Lovebonito.com, and Zalora.

“The progress of e-commerce is not necessarily the same here in Southeast Asia as it is in the United States or Japan. People here buy and sell products on blogs, social media and classified media. Those are rapidly shifting e-commerce platforms in recent years and will remain in the market for quite a while,” said Takeshi Ebihara, Founding General Partner, Rebright Partners.

Going forward, ShopperBoard will be working on a personalised recommendation engine, which will combine machine learning and artificial intelligence technology to recommend new styles, stores and shoppers to its users. The firm is also looking to implement an automatic price checking feature.

Elaine Huang

Elaine is a fervent believer that if there ever is a zombie apocalypse, we will all be snapping away at them with our phones and posting them onto Instagram. A Mass Communication graduate of Ngee Ann Polytechnic's School of Film and Media Studies, she enjoys writing about technology and entrepreneurs. When not hashtagging her way through all sorts of trouble, Elaine is probably contemplating how to write in the third person.

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