摘要
Robotics&Machine Learning Daily News的新闻记者兼新闻编辑-根据NewsRx记者在华盛顿特区的新闻报道原创G，阿比纳夫的Inve Ntors KADARI(Visakhapatnam，IN)；斯瓦米纳坦的PADMANABHAN(Chennai，IN)；SHARMA，Rahul Kumar(Gurgaon，本专利申请的受让人是Freshworks公司。(美国加利福尼亚州圣马特奥)。报告者从发明人提供的背景信息中获得了以下引文：“销售线索评分系统根据估计的销售概率对潜在客户（即销售线索或销售机会）进行分类和分类。为了解释的目的，销售线索是用户用来与最终消费者联系的数据集合。但是，在数据不准确或过时的情况下，用户与最终消费者联系的能力下降。“客户关系管理(CRM)供应商可以建立一种基于规则或基于Ma Chine Learning(ML)的线索评分方法，以预测企业（如账户）线索漏斗中的某些阶段（如预测目标）。不同的企业根据其核心业务不同使用CRM软件。此外，他们的主要重点目标可以是引导漏斗中的一个或多个阶段（目标）。参见下面的示例。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors KADARI, Abhinav (Visakhapatnam, IN); PADMANABHAN, Swaminathan (Chennai, IN ); SHARMA, Rahul Kumar (Gurgaon, IN), filed on November 15, 2022, was made avail able online on May 16, 2024. The assignee for this patent application is Freshworks Inc. (San Mateo, Californ ia, United States). Reporters obtained the following quote from the background information supplied by the inventors: “Lead scoring systems categorize and sort prospective customer s (i.e., leads or sales opportunities) based on an estimated probability of conv ersion. Leads, for the purposes of explanation, is a collection of data that is used by a user to connect with an end consumer. However, in instances where the data is inaccurate or outdated, the ability of the user to connect with the end consumer decreases. “Customer Relationship Management (CRM) providers may build a rules- based or ma chine learning (ML)-based lead scoring methodology to predict certain stages (e. g., prediction objectives) in the lead funnel for a business (e.g., account). Di fferent businesses use CRM software differently on the basis of their core busin ess. Further, their primary focused objective can be on one or multiple stages ( objectives) in the lead funnel. See the following example below.
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