首页> 外国专利> MACHINE LEARNING CLASSIFIER AND PREDICTION ENGINE FOR ARTIFICIAL INTELLIGENCE OPTIMIZED PROSPECT DETERMINATION ON WIN/LOSS CLASSIFICATION

MACHINE LEARNING CLASSIFIER AND PREDICTION ENGINE FOR ARTIFICIAL INTELLIGENCE OPTIMIZED PROSPECT DETERMINATION ON WIN/LOSS CLASSIFICATION

机译:机器学习分类器和预测引擎,用于WIN / LOS分类的人工智能优化前景确定

摘要

Embodiments of a system and method for identifying and prioritizing company prospects by training at least one classifier on client company win/loss metrics. One or more classifiers can be trained on a training database compiled from company win/loss database for a client and firmographic data from a robust business entity database. Once trained, the system can employ Artificial Intelligence powered by the trained classifiers to classify and output customized prospect lists of thousands of profiled and scored companies that the AI has determined are likely targets for specific marketing and sales. The AI can also ingest databases of client targets and classify and score them based on the custom-trained classifier.
机译:通过对客户公司赢/亏度量进行至少一个分类器的识别和确定公司前景的优先级的系统和方法的实施例。一个或多个分类器可以在从公司获利/损失数据库为客户编译的培训数据库和来自稳健业务实体数据库的公司数据中进行培训。一旦经过培训,系统便可以利用受过培训的分类器提供支持的人工智能对AI确定为特定营销和销售目标的数千家经过概述和评分的公司进行分类和输出定制的潜在客户列表。 AI还可以提取客户目标的数据库,并根据定制训练的分类器对它们进行分类和评分。

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