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Machine Learning

  • Social network giant improves visual search engine

    Pinterest is giving its image-based search engine an upgrade.   Pinterest introduced Lens in February. Since then, users have been pointing their mobile cameras at objects they see out in the real world, from apparel and accessories to decor, and Lens serves up similar styles or related information on their mobile device’s screen.   
  • Juniper: Retailers brace for $71 billion card-not-present fraud loss

    With fraudulent card-not-present (CNP) transactions on the rise, losses will become staggering over the next five years.    Retailers stand to lose $71 billion globally by 2022, driven by a number of factors, such as the United States' shift to Europay, MasterCard and Visa (EMV) chip cards, delays in 3DS 2.0 (3D-Secure) and click-and-collect fraud. This was according to “Online Payment Fraud: Emerging Threats, Key Vertical Strategies & Market Forecasts 2017-2022,” a report from Juniper Research. 
  • 7-Eleven opening futuristic store in South Korea

    Convenience-store giant 7-Eleven is opening a store that allows customers to pay simply with a wave of their hand.  
  • Walmart CEO: ‘Associates are the secret to our success’

    Walmart is no stranger to innovation. However, when defining the secret to the company’s success, Walmart’s chief executive Doug McMillon said he just has to look within the company’s proverbial four walls.  
  • Robots, coming to a store near you

    Yes, it’s official. The robotics revolution is coming to retail, as it is in many industries. I know robots roaming store aisles probably still sounds like something from “Back to the Future,” however, within a decade, I’m confident they will be such a normal part of the store experience we will find it hard to imagine life without them.  
  • Study: Innovation will drive the unified shopping experience

    E-commerce or brick-and-mortar retail environments continue to merge, and retailers are in the hot seat to optimize the customer experience.   As a result, the need to adopt innovative technologies to engage shoppers has never been stronger. This was according to the “2017 Customer Experience/Unified Commerce Benchmark Survey” from Boston Retail Partners.   
  • Online home furnishings retailer delves deeper into AI

    Wayfair is streamlining the way its shoppers navigate its vast online catalog as they search for specific looks.    The retailer launched “Search with Photo,” a new feature that leverages artificial intelligence to make it easier for shoppers to find their desired furnishings. Shoppers can now simply snap a photo to find and purchase specific products that match the looks they see and love.   
  • Study: Gen Z digital, decisive and drone-ready

    More than any generation before it, Gen Z has high expectations related to customer service and engagement across emerging channels.   That’s according to a new report by American Express, “Raising the Bar: How Gen Z Expectations Are Reshaping Brand Experiences.” The study, conducted by Forrester Research, surveyed 1,027 North American Gen Y (ages 23 to 37) and Gen Z consumers (ages 16 to 22).   
  • About the Future …

    What will the stores of the future be like? It’s certainly not a new question, but it’s one that seems to have taken on increased urgency as the shift to digital continues and retailers, some of them under siege from more nimble online competitors, wrestle with how to ensure their stores remain relevant going forward. It’s also a question that is sure to be top of mind for the shopping center owners and brokers who gather at the end of May in Las Vegas for RECon, the annual retail real estate confab.

  • Amazon extends commitment to AI, drones

    The United Kingdom is preparing for Amazon’s newest technology hub — a lab that will focus on innovations from artificial intelligence to machine learning.   The online giant plans to open a new 60,000 sq. ft. development center in Cambridge this fall. The facility will have the capacity to employ more than 400 associates, including machine learning scientists, knowledge engineers, data scientists, mathematical modelers, speech scientists and software engineers.  
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