![]() ![]() Consequently, they never know when specific products in their preferred size and color go on sale or come back in stock, and they lack the ability to save products from across multiple sites to one single place that allows them to easily keep track of the stuff they plan to buy across devices. Consumers leave products in shopping carts, email themselves links, organize product screenshots into folders, and keep track of different online wish lists across multiple retailers. ![]() They use multiple tools and tactics, such as keeping tabs open, looking for a valid coupon code, or checking for a lower price. ![]() When shopping online, most people visit countless websites searching for a product they want. Online shopping should be all about convenience, and it has become the opposite. The whole purpose of shopping online is to save time and get a better price than what's offered in physical retail stores. The online shopping experience is not fun anymore it has become frustrating and very time-consuming. Jonathan Friedman: We observed how most people spent their time throughout the process of purchasing products online, and I can tell you that it has become a nightmare. What specific void or opportunity did you discover that inspired the idea for Shoptagr? I spoke with Co-Founder and CEO J onathan Friedman about the vision behind his company, transforming the e-commerce industry, and his plans for designing the future of how people shop. To date, over 2.7 million products have been saved using Shoptagr, in addition to saving users a combined $8.3 million. The online personal shopper sends alerts when items are low in stock, dropped in price or restocked. Using artificial intelligence and shopping bots, Shoptagr helps online shoppers find the best deals, while removing the need to sort through promotions or intrusive ads. When using Shoptagr, items are curated into a unified wish list users can view anytime in one place, across multiple devices. Shoptagr does this by leveraging big data collected in real-time through millions of data-points, leveraging behavioral science to learn their users shopping habits and purchasing patterns. The technology creates a predictive analytics bot that helps consumers make smarter shopping decisions prior to purchase, whether picking the right price, presenting a coupon, or locating the best place and time to buy a desired item. Shoptagr uses advanced artificial intelligence and machine learning algorithms to create a digital shopping concierge. The online and mobile plug-in allows consumers to save items while browsing over 1,000 popular retail stores online. Noticing the need for a smart and simple fix, one startup developed a solution that makes it easy to quickly find what you want, at the price you want, from anywhere on the web.įounded in 2013, Shoptagr provides online shoppers with a personal shopping assistant powered by artificial intelligence. While the e-commerce boom symbolized greater access, convenience, and broader pricing options, it also made experiences more time-consuming, fragmented and harder to navigate. also redeemed an online coupon or discount code, accounting for more than 126 million people.Īs traditional storefront shopping swiftly transitioned online, the personal experience slowly began to diminish, eliminating the engagement with associates to offer helpful information r assist with making smart purchasing decisions. More notably, 36% of shoppers spend over 30 minutes researching online before making a purchase, with 65% spending at least 16 minutes searching the net before spending. Adweek reported that 81% of consumers conduct research online before making purchasing decisions, with more than half of shoppers spending over 75% of their time doing so. ![]()
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