US 12,271,844 B1
Identification via geo-fence overlap
Veronica Ho, Oakland, CA (US); Matthew Haehl, New York, NY (US); Saqi Mehta, San Francisco, CA (US); and Stephanie Snyder, San Francisco, CA (US)
Assigned to Block, Inc., Oakland, CA (US)
Filed by Block, Inc., Oakland, CA (US)
Filed on Jul. 20, 2023, as Appl. No. 18/356,089.
Application 18/356,089 is a division of application No. 15/390,119, filed on Dec. 23, 2016, granted, now 11,880,788.
Int. Cl. G06Q 10/0631 (2023.01); G06Q 10/0639 (2023.01)
CPC G06Q 10/063112 (2013.01) [G06Q 10/06398 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A system comprising:
one or more processors; and
memory communicatively coupled to the one or more processors and storing instructions that, when executed by the one or more processors, cause the one or more processors to perform acts comprising:
determining a first geo-fence extending along one or more paths taken by a user within a store of a merchant, wherein the first geo-fence is determined based at least in part on an electronic device associated with the user;
determining one or more second geo-fences extending along paths taken by respective employees of one or more employees within the store, wherein the one or more second geo-fences are determined based at least in part on electronic devices associated with the respective employees;
determining that a portion of the first geo-fence overlaps with at least one second geo-fence of the one or more second geo-fences within a window of time, wherein the window of time terminates when the user leaves the store;
based at least in part on determining that the portion of the first geo-fence overlaps with the at least one second geo-fence, selecting corresponding respective employees associated with the at least one second geo-fence;
determining a plurality of confidence scores, wherein a confidence score of the plurality of confidence scores is associated with a particular employee of the corresponding respective employees, and wherein the confidence score indicates a likelihood that the particular employee interacted with the user, and wherein determination of the confidence score is based at least in part on a size of the portion, a duration of time of overlap, and at least one item selected for purchase by the user; and
causing information regarding the one or more employees to be presented via the electronic device associated with the user or a point-of-sale (POS) terminal of the merchant, the information appearing as an ordered list based at least in part on the plurality of confidence scores.