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Machine Learning

  • Indian fashion retailer personalizes experience with cognitive learning

    Fashion retailer abof is breaking new ground by leveraging machine learning and natural language to better service its online shoppers.    Aditya Birla Online Fashion (abof) sells apparel, footwear and accessories for men and women, and has a strong millennial consumer base. Knowing this customer segment expects a highly convenient and distinctive customer service, abof needed a way to personalize its online experience.  
  • Gifting retailer gets “Moms” comfortable with emerging technology

    Getting a handle on innovative technologies can be overwhelming — especially for parents of Generation X’ers and millennials.    To keep its associates’ moms in the know, 1-800 Flowers is hosting an educational, hands-on experience showcasing how the company fosters a culture of innovation and leverages emerging technologies.  
  • Discounter in big RFID deployment

    Target Corp. is stepping up its inventory management.   The discount retailer is partnering with Avery Dennison to deploy radio frequency identification (RFID) technology to more than 1,600 stores. The deployment, described by the technology provider as the largest of its kind, will help Target  maximize inventory availability and deliver an enhanced shopper experience.   
  • Walmart launches Store No. 8 — but it’s not really a store

    The nation’s largest retailer is delving deeper into e-commerce and evolving technology with its newest investment.   Walmart has formed Store No. 8, a technology incubator that will be based in the Silicon Valley. (The new initiative is named after an early Walmart store that company founder Sam Walton used to try out new retail strategies.)  
  • Report: Retailers are running in place when it comes to IoT

    Retailers remain stuck when it comes to Internet of Things (IoT) initiatives, according to “The Internet of Things in Retail: Getting Beyond the Hype.”   The second annual report from RSR shows that retailers are increasingly aware of the impact of IoT on customer engagement and competitive advantage. Yet, they are still hesitant to invest in cutting edge technologies due to operational challenges and a lack of supporting infrastructure.  
  • Discounter bolsters tech team through ‘acquihiring’

    Data and analytics is more than a business foundation — it is a key differentiator in an increasingly competitive marketplace, according to Target’s senior VP Paritosh Desai.   As a result, Target is making a big push to add top tech talent, from software engineers to data scientists — a move that pushed the chain to “acquihire” tech companies. In this practice, larger companies acquire smaller ones to obtain their technology and, essentially, hire their leadership and teams.  
  • Report: Apple fixing security holes in devices revealed by CIA

    Following a report that said the CIA is capable of breaking into Apple devices, the electronics company is working diligently to fix potential vulnerabilities.   On Tuesday, March 7, the WikiLeaks website said the CIA has an arsenal of malware ready to undermine security and encryption measures on Apple’s iPhones, Mac OS operating system, AirPort routers, according to ReCode.   
  • Pinterest extends visual search — off its site

    Pinterest’s visual search capabilities just got broader.   On Monday, March 6, the social media site expanded its visual search technology into its browser extensions — a move that enables pinners to save images found online and use them as a jump-off point for discovering similar ideas on Pinterest, the company said.   Chrome is the first extension to receive the functionality.  
  • Report: New robot controlled by user’s brain

    The newest robots like the way their controllers think.   Rather than relying on touch screens and artificial intelligence, a new “droid” is controlled by a user’s brain responses, according to ReCode.  
  • Discounter uses machine learning to stay 'on Target' with shopper demand

    Target’s omnichannel journey may have started five years ago, but newly-emerging digital touchpoints continue to change the game.   By leveraging machine learning to tap into customer demand, the mass merchandiser is defining which touchpoints are not only valuable, but influencing its shoppers’ paths-to-purchase. The initiative was discussed at the “Determining New Omni-KPIs To Hit Goals And Key Drivers” session at eTail West 2017, in Palm Springs, California, Feb. 27-March 2.  
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