Walmart Apollo, LLC

Wal-mart Stores, Inc.

Andrew Ellerhorst

Nathan Stoll

Jan Magnus Stensmo

Stuart Payton Robinson

Abhishek Banerjee

In accordance with some implementations, a method for using recommendations to fulfill pre-established purchasing intent is disclosed. The method is performed on a server system having one or more processors and memory storing one or more programs for execution by the one or more processors. The server system receives a recommendation for a product or service from a first user and determines whether a second user has pre-indicated intent to purchase a product or service in a category of product or service that includes the recommended product or service. The server system then purchases the recommended product on behalf of the user without further input from the user.

Pre-establishing purchasing intent for computer based commerce systems

In some embodiments, a method comprises receiving at least two parameters for a gift exchange from an organizer of the gift exchange. The at least two parameters can comprise a set of participants and a budget. The method further comprises identifying a gift exchange recipient for a respective participant in the set of participants, determining one or more gifts for the gift exchange recipient based at least in part on the budget and a first trust graph, and arranging for display the one or more determined gifts to the respective participant. In many embodiments, the first trust comprises levels of trust associated with the gift exchange recipient. Other embodiments also are disclosed herein.

System and method for providing a gift exchange

In one embodiments, initiation of purchase transaction in response to a reply to a recommendation comprises a method. The method comprises, at a computer system having one or more processors and non-transitory memory storing one or more programs for execution by the one or more processors, detecting a recommendation associated with a first user, the recommendation associated with a product or service. The method further comprises detecting a response from a second user to the recommendation, determining whether the response from the second user comprises a purchase decision, and in accordance with a determination that the response from the second user comprises the purchase decision, initiating a transaction for the second user to purchase the product or service associated with the recommendation. Other embodiments are described herein.

Initiation of purchase transaction in response to a reply to a recommendation

Various embodiments of systems and methods for recommendation scraping include a method comprising receiving a content feed, wherein the content feed is associated with a holder and identifying at least one post within the content feed comprising a mention of a respective item. In many embodiments, the method can further comprise generating an item recommendation corresponding to the respective item, associating the item recommendation with a profile associated with the holder, and sending instructions to present the item recommendation to one or more users. Other embodiments are also disclosed herein.

Systems and methods for recommendation scraping

In some embodiments of methods and systems of purchasing products via a subscription mechanism, a method comprises, presenting a subscription mechanism corresponding to a first user, wherein the subscription mechanism is associated with a set of products. In many embodiments, the method further comprises receiving a notification from a second user selecting the subscription mechanism corresponding to the first user, determining that one or more conditions are satisfied, and causing at least a portion of the set of products associated with the subscription mechanism to be purchased by the second user. Other embodiments also are disclosed herein.

Methods and systems for arranging a webpage and purchasing products via a subscription mechanism

In accordance with some implementations, a method for enabling clickless purchasing is disclosed. The method is performed on a server system having one or more processors and memory storing one or more programs for execution by the one or more processors. The server system detects commercial intent from a user of the computer system. In response to detecting commercial intent, the server system determines a product relevant to the detected commercial intent of a user. The server system sends a recommendation message to the user, wherein the recommendation message includes an option to purchase the product. The server system then receives a response message from the user, the message including authorization from the user to purchase the recommended product. The server system then purchases the recommended product on behalf of the user and delivers the purchased product to the user.

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San Francisco, CA, United States of America

Andrew Ellerhorst