Robotics & Machine Learning Daily News2024,Issue(Feb.21) :103-107.

Patent Application Titled 'Location-Based Assignment Of Shopper- Location Pairs' Published Online (USPTO 20240037588)

Robotics & Machine Learning Daily News2024,Issue(Feb.21) :103-107.

Patent Application Titled 'Location-Based Assignment Of Shopper- Location Pairs' Published Online (USPTO 20240037588)

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Abstract

According to news reporting originating from Washington, D.C., by NewsRx journalists, a patent application by the inventors Anand, Radhika (Sunnyvale, CA, US); Chang, Rockson (Somerville, MA, US); Chen, Michael (San Francisco, CA, US); Dou, Aaron (Santa Clara, CA, US); Sampat, Ajay (San Francisco, CA, US); Sturm, Nicholas (Denver, CO, US); Yin, Licheng (Burlingame, CA, US); Zhang, Chen (San Jose, CA, US), filed on July 29, 2022, was made available online on February 1, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: “Online shopping concierge platforms may link shoppers with customers, enabling customers to request and receive products located at various remote geographic locations. To increase the efficiency of such platforms, customers, shoppers, and locations may be matched based on a wide variety of criteria, and/or the like.”

Key words

Cyborgs/Emerging Technologies/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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