US 11,869,062 B2
Cross-entity recommendation services
Christopher John Costello, Suwanee, GA (US); Matthew Robert Burris, Atlanta, GA (US); Itamar David Laserson, Givat Shmuel (IL); and Norman Leonard Trujillo, Frisco, TX (US)
Assigned to NCR Voyix Corporation, Atlanta, GA (US)
Filed by NCR Voyix Corporation, Atlanta, GA (US)
Filed on May 28, 2021, as Appl. No. 17/333,128.
Prior Publication US 2022/0383385 A1, Dec. 1, 2022
Int. Cl. G06Q 30/00 (2023.01); G06Q 30/0601 (2023.01); G06Q 20/20 (2012.01)
CPC G06Q 30/0631 (2013.01) [G06Q 20/20 (2013.01)] 11 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving, by a processor of a server, transaction data associated with a purchase transaction from a retailer;
identifying, by the processor, an entity other than the retailer from the transaction data;
updating or generating, by the processor, a correlation based on items included in the purchase transaction data and based on other transaction data associated with other purchase transactions of the retailer and of other retailers, wherein updating or generating further includes updating an existing correlation as the correlation based on a deviation determined from the transaction data with the other transaction data; and
providing, by the processor, a recommendation to a system of the entity via an application programming interface (API) based on the correlation and providing data graphs corresponding to relevant data that supports the recommendation through an interface accessible to the entity based on the correlation, wherein the recommendation relevant to increasing sales of at least one of the items by the entity through the retailer.