US 12,277,574 B1
Demographic based prospective shopper identification system and related methods
Melissa Bube, High Point, NC (US); Jacob Bowman, Greensboro, NC (US); and Andreas M. Benamou, Spicewood, TX (US)
Assigned to INMAR CLEARING, INC., Winston-Salem, NC (US)
Filed by Inmar Clearing, Inc., Winston-Salem, NC (US)
Filed on Dec. 5, 2023, as Appl. No. 18/529,988.
Int. Cl. G06Q 30/0207 (2023.01); G06Q 30/0204 (2023.01); H04L 51/02 (2022.01)
CPC G06Q 30/0224 (2013.01) [G06Q 30/0204 (2013.01); H04L 51/02 (2013.01)] 13 Claims
OG exemplary drawing
 
1. A shopper identification system comprising:
a user device configured to accept desired shopper reach data associated with a digital promotion;
a plurality of shopper devices; and
a shopper identification server configured to
obtain product purchase history data corresponding to a plurality of shoppers,
obtain shopper identification data corresponding to the plurality of shoppers,
determine shopper demographics associated with purchased products of a brand based upon the product purchase history data and the shopper identification data,
cooperate with the user device to operate a chatbot to obtain the desired shopper reach data via a natural language processing (NLP) interface,
apply a large language model (LLM) to identify prospective shoppers from among the plurality of shoppers that are likely to purchase products of the brand based upon the shopper demographics and based upon the desired shopper reach data, the LLM identifying the prospective shoppers by accepting, as input thereto, the shopper demographics as LLM words, and predicting next LLM words correlated to the prospective shoppers, the LLM being trained based upon supervised learning techniques to classify the plurality of shoppers based upon the shopper demographics, and
generate and communicate the digital promotion to corresponding ones of the plurality of shopper devices associated with the prospective shoppers.