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50 Best AI Retail Applications - Insider Trends

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With that in mind, we've outlined 50 ways in which retailers are putting AI into action, from personalising beauty to forecasting demand. While the predominant function of Sephora's Virtual Artist app is to allow beauty buyers to try on products virtually via augmented reality, the brand recently introduced a colour match tool, powered by AI. This tool determines the particular shade of a product on a photo and suggests similar products available at Sephora that the consumer can then try on and purchase. If there's one sector where AI has been making a lot of noise, it's beauty. Olay's Skin Advisor is an online consultation platform that can tell the true age of a user's skin from a selfie. By using AI to both evaluate and determine problem areas, as well as the overall condition of the skin, it also provides personalised skincare routines and reports.


The 20 Best Examples Of Using Artificial Intelligence For Retail Experiences

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The basic retail experience hasn't changed much over the years: go into a store, look for the right product and make a purchase. Artificial intelligence has the potential to completely transform the traditional retail experience and take it to the next level with personalization, automation and increased efficiency. Here are 20 of the best examples of AI to improve the retail experience. Navigating a hardware store can be difficult, but Lowes created the LoweBot to help customers find their way around the store and get the items they need. LoweBots roam the store and ask customers simple questions to find out what they're looking for.


How Sephora is leveraging AR and AI to transform retail and help customers buy cosmetics

ZDNet

The Sephora Virtual Artist kiosk invites retail customers to use augmented reality to try out different products.


The odyssey of Artificial Intelligence in business applications - Sentinelassam

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He can be contacted at m.bibhas@gmail.com) "Artificial intelligence is kind of the second coming of software". Instead of serving as a replacement for human intelligence and ingenuity, artificial intelligence is generally seen as a supporting tool. Prior to exploring the many ways how Artificial Intelligence (AI, hereafter) can be defined or recognise potential opportunities and challenges in machine or deep learning, common debates seem to first point out some of the ethical concerns that AI brings in the contemporary society. Policy makers and scientists thinks that AI: a) with increased automation technology would give rise to job losses, B) embodying the sophistication and complexity of AI would call for redeployment or retrain employees to keep them in jobs, C) will trigger the effect of continual machine interaction on human behaviour and attention; D) ignites the need to address algorithmic bias originating from human bias in the data; E) will develop the need to mitigate against unintended consequences, as smart machines are thought to learn and develop independently.


Retail's Adapt-Or-Die Moment: How Artificial Intelligence Is Reshaping Commerce

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Traditional and new-school retailers alike are using AI and robotics to automate various parts of the retail chain, from manufacturing to last-mile delivery. Retail is under pressure to crack the AI code. After all, corporations in every industry are scrambling to adapt and integrate artificial intelligence into their products -- and retail is no exception. Learn how Walmart, Amazon, Sephora, Zara, and other retailers are using AI to reinvent the brick-and-mortar store. For traditional retail giants, this means entering the playing field with the likes of e-commerce behemoths Amazon and Alibaba, both of which are leveraging big data and powerful AI algorithms to transform the retail space. In addition to fierce competition, the need for a change in strategy is being underscored by the record rates at which many US retailers are shutting down. In 2017 alone, 21 retail chains applied for bankruptcy, including high-profile names like RadioShack, Toys R' Us, and Aerosoles.