Intel’s Responsive Internet of Things Technology Transforms Retail

by Tech Mainstream Staff


January 16, 2018


Intel’s Responsive Internet of Things Technology Transforms Retail


A year ago, Intel announced its support of Responsive Retail Internet of Things (IoT) Technology with a $100 million investment geared towards innovation in this technological area. Besides Internet of Things (IoT) automation, strides have been made also in robotics and artificial intellegence (AI): "Intel has activated the retail ecosystem, delivering off-the-shelf market-ready solutions and addressing some of retail’s biggest challenges: changing the way consumers shop, accelerating automation and managing businesses."

Intel's technology currently is used in 60 stores and with 2,000 sensors. One example store in China, called D-Mart is literally run by itself incorporating smart shelves, intelligent cameras, gateways and sensors, smart counters for frictionless checkout, and smart digital signage. This related technology has the potential to be used by China's brick-and-mortar stores and to assist over 6.8 million mom-and-pop retailers.

In the supply chain realm, Dutch retailer G-Star has integrated the Intel® Responsive Retail Sensor currently in 20 stores. Part of this technology, RIOT* insight software for analytics, uses data-driven insights to make informed inventory management decisions.

Another retailer, Lolli and Pops, a gourmet candies purveyor, uses computer vision and AI to personalize customer service: "Using AI-enhanced analytics, the retailer accesses members’ preferences and makes personalized product recommendations – giving shoppers the sweet VIP treatment, while ensuring they keep coming back."

Point of Sale systems overall reduce costs and boost productivity. They essentially "give customers the power to decide when, where and how they purchase." At NRF 2018 Intel-based solutions used by 30 Intel partners will be showcased. Ultimately the main goal of this event and in ones in the future, is to "solve retail’s biggest challenges."

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Source: https://www.arduino.cc/en/Guide/Introduction/

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Source: https://www.realitytechnologies.com/ augmented-reality/

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Source: http://deeplearning.net/


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Source: https://en.wikipedia.org/wiki/DevOps


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Source: https://azure.microsoft.com/en-us/overview/what-is-hybrid-cloud-computing/


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Source: https://kubernetes.io/blog/



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