Walmart Apollo, LLC

Ron Benson

Kannan Achan

Afroza Ali

A system can include one or more non-transitory computer-readable media storing computing instructions configured to run on one or more processors and perform certain acts. The acts can include receiving, at a back-end device of the system, a query from a user interface of a front-end device requesting two or more user identifications mapped to a same payment option of multiple payment options. The acts also can include distilling a subset of user identifications from among the multiple user identifications. Additionally, the acts can include identifying a first classification comprising a single user of the subset of user identifications. Further, the acts can include identifying a second classification comprising two or more first users of the subset of user identifications that are part of a same household. Other embodiments are disclosed.

Systems and methods for clustering of customers using transaction patterns

Example systems and methods for clustering of users using patterns in their transactions are described. In one implementation, a method receives one or more user identifications of one or more users and one or more payment options associated with multiple transactions. The method identifies a subset of payment options from among the one or more payment options and a subset of user identifications from among the one or more user identifications. The method then analyzes the subset of payment options for patterns based on the subset of user identifications associated with a single payment option of the subset of payment options to cluster each user identification of the subset of user identifications into multiple classifications.

Example systems and methods for clustering of customers using patterns in their transactions are described. In one implementation, a method receives customer information that includes at least a plurality of customer identifications and a plurality of payment options associated with a plurality of customers. The method identifies a subset of payment options, from among the payment options, and a subset of customer identifications, from among the customer identifications, such that each payment option of the subset of payment options is associated with more than one customer identification of the subset of customer identifications. The method then classifies each customer identification of the subset of customer identifications as either of one of more than one of the customer identifications associated with a single one of the customers or one of more than one of the customer identifications associated with more than one of the customers who are related to each other.

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San Francisco, CA, United States of America

Ron Benson