E-shopping notifier Glanse helps customers to cut through the noise of sales season

glanse-screenBuying clothing online is often pretty simple, only if the customers knows what he/she wants, and where it’s found with best price. That’s the painful part of e-shopping as it may take hours to compare the products and offers, even after we conclude that it’s the thing we’re really looking for. That’s where Glanse comes in, by offering a curator/notifier app that knows you and what you need, and alerts you when to shop for it..

Launched in April 2014, Glanse offers users sales notifications, but does not wish to bombard them with useless deals. Drawing from retailers such as Urban Outfitters, Anthropologie, Nordstrom, and Nasty Gal, the service sends users notifications about sales than allows them to discard the item, add it to a wish-list, share it with friends or family, or just go ahead and make a purchase. The service is currently iOS exclusive, but they are working to develop an Android app. Currently it claims over 10,000 users.

Though located in Silicon Valley, the startup was co-founded by Jordanian entrepreneur Evelyn Zoubi, who tells us that she first developed a product for fun during college and has been looking to build a business ever since. This isn’t her first go at a fashion-oriented business, as she launched eCloset.me to aid users with selecting clothing based on local weather. But she says that there were several pivots and now, together with co-founders Aram Yegenian and Roy Chung, she wants to challenge Pinterest by making it easier to find items that are in stock, on sale, and fit the customer.

The company obtained its first funding from Plug & Play Ventures and Alireza Masrour, but later received investment from other angels, including Kinh Demaree. Zoubi adds that they are in negotiations to raise a much larger round.

Zoubi tells that the company raises revenue by taking a commission from sales with 1,500 brands, but they are also developing a new monetization channel connected with influencers. Going forward, she says that they are looking to offer analytics on the popularity of brands and clothing patterns.

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