首页|Patent Issued for Machine learning based automated pairing of individual custome rs and small businesses (USPTO 12001970)
Patent Issued for Machine learning based automated pairing of individual custome rs and small businesses (USPTO 12001970)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Al len, Morgan S. (Waxhaw, NC, US), Carroll, Matthew E. (Charlotte, NC, US), Kingst on, Tamara S. (Peoria, AZ, US), Sanghvi, Siten (Westfield, NJ, US), Shannon, Ste phen T. (Charlotte, NC, US), filed on September 27, 2023, was published online o n June 4, 2024. The assignee for this patent, patent number 12001970, is Bank of America Corpora tion (Charlotte, North Carolina, United States). Reporters obtained the following quote from the background information supplied by the inventors: "Aspects of the disclosure relate to deploying machine learnin g systems to predict customer needs. In particular, one or more aspects of the d isclosure relate to machine learning based automated pairing of customers and bu sinesses. "Enterprise organizations may utilize various computing infrastructure to provid e services to their customers. Customers of the enterprise organization may incl ude individuals and businesses. In some instances, a customer may make a purchas e, and there may be business customers that have offerings that may be beneficia l to a customer. Detecting a pattern of purchase activity for customers, and mat ching them to appropriate business customers, may be of high significance to an enterprise organization. In many instances, however, it may be difficult to ensu re detection of such need, and connecting customers and businesses, while also a ttempting to optimize the resource utilization, bandwidth utilization, and effic ient operations of the computing infrastructure involved in maintaining, accessi ng, and executing such purchase activities."
Bank of America CorporationBusinessC yborgsEmerging TechnologiesFinancial CompaniesMachine LearningMoney Cent er Banks
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