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Machine Learning

  • Three Lessons ‘Jaws’ Offers Retail Analytics

    This summer marks the 40th anniversary of “Jaws,” the landmark movie that turned summertime into a season of blockbuster films, made Steven Spielberg a household name and still causes many people to think twice before taking a dip in the ocean.

    In honor of the enduring legacy of Capt. Quint, Chief Brody, Hooper and of course Bruce the shark, here are three lessons “Jaws” offers retail analytics professionals.

  • Tech Guest Viewpoint: EMV: Why Online Retailers Should Pay Attention

    If you’ve got a physical shop in the U.S., chances are you’re well acquainted with the upcoming deadline for getting an EMV card reader: October 1, 2015. And you’re probably also very aware that if you don’t have this device and complete all your compliance steps, you’ll be on the hook for all the painful chargebacks and related costs that come with fraudulent credit card transactions.

  • Sporting goods retailer wants to get more personal with shoppers

    San Diego, Calif. -- Sports Authority is making good on its promise to make its online site more robust and engaging.

    The retailer announced it is renewing its relationship with personalization solutions provider Certona for the fifth consecutive year. By creating rich online experiences for customers, Certona has been a critical component of Sports Authority’s personalization strategy since 2010.

  • Simon says yes to light-based data collection

    New York – Simon Venture Group, the corporate investment arm of Simon Property Group, is among the companies saying yes to light-based data collection. Simon participated in a private funding round of $36 million led by Cisco Investments and including Acuity Brands and GE Ventures, for Sunnyvale, California-based Sensity Systems Inc.

  • Peapod delivers more personalized mobile experience

    Chicago – As grocery shoppers’ lives keep getting busier, Ahold’s online grocery delivery service Peapod keeps trying to make shopping easier.

    Peapod has completely redesigned its mobile and tablet app, with larger, high-resolution photos and a host of new features designed to streamline and simplify online shopping.

  • Haggen focused on omnichannel personalized marketing

    West Coast regional grocer Haggen Food and Pharmacy has a new omnichannel partner to help drive growth.

    The retailer has selected Unata to help implement customer loyalty and other initiatives to allow for more personalized marketing across Haggen’s channels including online, mobile and in-store.

  • It’s all about image for mobile Flipkart shoppers

    Bangalore, India – Image is important, and that extends to mobile commerce. Indian e-commerce platform Flipkart is recognizing the importance of image for its mobile shoppers by rolling out image search on its mobile app, using ViSenze technology for visual search and image recognition.

    The newly introduced image search allows users to upload photos of fashion items and find similar products in terms of color, pattern or style inside the Flipkart merchandise database. This eliminates keyword searches, simplifying the search process.

  • Another unexpected way IoT will affect retail

    The explosive growth of device connectivity, wireless technology, cloud computing and advanced analytics has driven the Internet of Things (IoT) from vision to reality. Devices with embedded sensors are enabling advanced, automated communications for retail businesses and customers. These connected devices are driving deeper engagement, providing new experiences and opportunities, creating new revenue opportunities and enabling better business insight.

  • Simon reveals winners of first-ever retail start-up competition

    New York – Retail real estate giant Simon has announced the winners of its inaugural 'Simon Launch,” a retail startup competition aimed at uncovering, investing in, and accelerating top startups in the retail industry. 

    The winning startups, which were selected from more than 300 applications, are:

  • Report: Amazon enhances online reviews with machine learning

    Seattle – Amazon.com is reportedly using a proprietary machine learning solution to analyze online customer reviews and present newer and more relevant reviews first. According to CNet, the system takes into account factors such as newness, whether the review was written by a verified Amazon purchaser and how many customers found the review helpful.

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