Item-specific sales ranking systems and methods

US9665900B1 · kind B1 · utility

Assignee

• AMAZON TECHNOLOGIES, INC. · US

Inventors

• Jeremy Todd Claeson · Luxembourg, LU
• Darshan Dev Bildikar · Savanuru, IN
• Christopher W. Bryant · Seattle, US
• Edward Charles Grenier · Portland, US
• Samuel Stevens Heyworth · Seattle, US
• Sachin Midha · New Delhi, IN
• Balu Ramu · Savanuru, IN
• Ambareesha Raghothaman · Savanuru, IN
• Andrew Robert Toner · Bothell, US

Key dates

• Filing date: Jun 7, 2013
• Grant date: May 30, 2017
• Expiry date: Jan 25, 2036

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q30/0631
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Systems and methods herein can generate sales rankings for parts based on one or more metrics, such as geographic location of purchasers of the parts or based on items owned by users that function in conjunction with the parts. The systems can present the sales rankings to a user based on another item owned by the user. For example, sales rankings of memory can be presented to a user based on a laptop model owned by the user. Thus, users can determine how popular a part is among particular segments of the population, such as among users living in a certain geographic region, or among users who own a particular item designed to operate with the part. Moreover, the sales rankings can be used to generate recommendations of parts based on a corresponding item owned by the user that is configured to function with the part type.