USING ARTIFICIAL INTELLIGENCE MODELS AND CLUSTER INFORMATION TO IDENTIFY A PRODUCER AND CONSUMER MATCH
Dossier Overview
Applicant
Sequoia Benefits and Insurance Services, LLC
Inventor
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 Classification
CPC Classification
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.
Original (Chinese)
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.
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