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JD.com, Intel unveil lab to explore IoT in smart retail
21 Dec '18
2 min read
Courtesy: JD.com
Extending their existing partnership, JD.com and Intel have jointly unveiled a lab that will explore the use of Internet of Things (IoT) in smart retail solutions. The Digitised Retail Joint Lab will develop next-generation vending machines, media and advertising solutions, and technologies to be used in the stores of the future, based on Intel architecture.
So far, scientists have successfully merged Intel’s RRI edge computing and OpenVINO computer vision architecture with JD’s computer vision algorithms to analyse customer traffic and in-store purchasing habits, a solution that helps store owners to provide a more personalised and convenient experience to their customers.
“This lab will combine our collective strengths to develop cutting-edge solutions to bring the precision of online shopping to offline players,” said Zhi Weng, VP of JD.com and head of JD Big Data Platform.
“We look forward to expanding our cooperation with Intel to deliver a best-in-class, personalised shopping experience wherever consumers shop.”
“As China’s most influential retailer and a leader in data-driven offline retail innovation, JD is an important partner for us to continue to develop a wide range of use cases for our latest technology developments,” said Wei Chen, VP of Intel and general manager of Intel IOTG China. “We are happy to take our partnership to the next level.”
The new lab adds to JD.com’s vision of “Retail as a Service,” or sharing its cutting edge technology and infrastructure with other retailers and industries to revolutionise global commerce. Other efforts include a suite of technology upgrades for brick-and-mortar store owners, including smart shelving, smart price tags, checkout solutions, and more. By helping smaller retailers modernise their operations, JD hopes to enable all consumers’ access to quality products, and to buy whatever they want, whenever and wherever they want it.
By leveraging JD’s big data analysis capabilities and Intel’s advanced edge computing technologies, the companies will build a more sophisticated retail ecosystem and enable the wider commercialisation of new products and technologies as well as facilitate their introduction to global markets. (SV)
So far, scientists have successfully merged Intel’s RRI edge computing and OpenVINO computer vision architecture with JD’s computer vision algorithms to analyse customer traffic and in-store purchasing habits, a solution that helps store owners to provide a more personalised and convenient experience to their customers.
“This lab will combine our collective strengths to develop cutting-edge solutions to bring the precision of online shopping to offline players,” said Zhi Weng, VP of JD.com and head of JD Big Data Platform.
“We look forward to expanding our cooperation with Intel to deliver a best-in-class, personalised shopping experience wherever consumers shop.”
“As China’s most influential retailer and a leader in data-driven offline retail innovation, JD is an important partner for us to continue to develop a wide range of use cases for our latest technology developments,” said Wei Chen, VP of Intel and general manager of Intel IOTG China. “We are happy to take our partnership to the next level.”
The new lab adds to JD.com’s vision of “Retail as a Service,” or sharing its cutting edge technology and infrastructure with other retailers and industries to revolutionise global commerce. Other efforts include a suite of technology upgrades for brick-and-mortar store owners, including smart shelving, smart price tags, checkout solutions, and more. By helping smaller retailers modernise their operations, JD hopes to enable all consumers’ access to quality products, and to buy whatever they want, whenever and wherever they want it.
By leveraging JD’s big data analysis capabilities and Intel’s advanced edge computing technologies, the companies will build a more sophisticated retail ecosystem and enable the wider commercialisation of new products and technologies as well as facilitate their introduction to global markets. (SV)
Fibre2Fashion News Desk – India
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