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USING ARTIFICIAL INTELLIGENCE MODELS AND CLUSTER INFORMATION TO IDENTIFY A PRODUCER AND CONSUMER MATCH

发明专利审中
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27权利要求 · 10 独立
§ Ⅰ

卷宗概要

发明人

Mark Dunning; Dustin Steven Schodt; Joseph David Hubbs; Ruth Buel; Dennis Dale Warner, JR.; Sean Beckstead; Martina Lendova Huamonte; Fran Glaser; Eric Stephen Sankner; Maya Louise Estrada; David Aaron Finklestein; Laura Katharina Bergner, JR.; Marissa Kelly Lyons; Jacqueline Gonzalez

IPC 分类

G6Q 10/1057G6Q 30/204

CPC 分类

G6Q10/1057G6Q30/205

A subset of producers that are a potential match to provide services to a first consumer are identified among producers via software-as-a-service (SaaS) management platform. A first output indicating a consumer cluster identifier corresponding to the first consumer is obtained from a first trained artificial intelligence (AI) model. The consumer cluster identifier identifies, among multiple consumer clusters, a first consumer cluster that corresponds to the first consumer. An estimate that a response from a first producer of the subset of producers will satisfy consumer preferences associated with the first consumer cluster is generated. A score for each of the subset of producers is generated based the estimate. The score indicates a likelihood that a respective producer of the subset of producers is a match for the first consumer. A notification indicating the scores for the subset of producers is provided.

原文(中文)

A subset of producers that are a potential match to provide services to a first consumer are identified among producers via software-as-a-service (SaaS) management platform. A first output indicating a consumer cluster identifier corresponding to the first consumer is obtained from a first trained artificial intelligence (AI) model. The consumer cluster identifier identifies, among multiple consumer clusters, a first consumer cluster that corresponds to the first consumer. An estimate that a response from a first producer of the subset of producers will satisfy consumer preferences associated with the first consumer cluster is generated. A score for each of the subset of producers is generated based the estimate. The score indicates a likelihood that a respective producer of the subset of producers is a match for the first consumer. A notification indicating the scores for the subset of producers is provided.