SBIR Phase II: AI for Enhanced Processing of Digital Conversations

这一小型企业创新研究（SBIR）第二阶段项目的更广泛影响/商业潜力在于其通过更容易、更快、更好地访问以前的销售对话和改善销售管理监督来积极影响销售流程的潜力。这些改进反过来将提高销售效率和客户获取和保留，并使公司能够实现更大的利润率，同时最大限度地提高客户满意度。该项目将通过让女性和代表性不足的少数民族参与研发活动，使技术劳动力多样化，并将有助于增加与技术相关的就业和人才保留机会。这个小型企业创新研究（SBIR）第二阶段项目是通过为销售代表及其经理提供先进的技术来简化他们的销售流程，从而显著提高他们的生产力。本项目开发的平台将大大减少销售代理处理或回忆销售对话的时间，通过更有效的管理监督减少销售培训时间，并促进销售代理之间的过渡。该平台将使用基于订阅的软件即服务（SaaS）业务模式，提供快速、集中的开发和维护，同时还允许广泛的推广。具体而言，该项目将开发新的方法和工具来处理和分析销售对话：（1）制作摘要说明;（2）提取行动项目;（3）允许智能访问对话内容;（4）测量参与度指标。该项目将利用自然语言处理的最新进展和专有销售对话的大型数据库，使平台能够了解有效销售沟通的复杂性。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project lies in its potential to positively impact the sales process by enabling easier, faster, and better access to previous sales conversations and improving sales management oversight. These improvements, in turn, will lead to increased sales efficiency and customer acquisition and retention, and will enable companies to achieve a greater profit margin, while maximizing customer satisfaction. The insights gained in this project may also facilitate communication in other markets including interviews, counseling, etc. The project will diversify the technical workforce by engaging women and underrepresented minorities in research and development activities and will help increase tech-related employment and talent retention opportunities. This Small Business Innovation Research (SBIR) Phase II project is to significantly increase the productivity of sales representatives and their managers by providing them with advanced technology to streamline their sales processes. The platform developed in this project will significantly reduce the time it takes a sales agent to process or recall their sales conversations, decrease the sales training time through more effective management oversight, and facilitate the transition between sales agents. The platform will use a subscription-based Sofware as a Service (SaaS) business model that provides fast and centralized development and maintenance, while also allowing for a broad outreach. Specifically, this project will develop novel methods and tools to process and analyze sales conversations by: (1) producing summary notes; (2) extracting action items; (3) allowing for smart access to conversation content; and (4) measuring engagement metrics. The project will leverage the recent advances innatural language processing and a large database of proprietary sales conversations that will allow the platform to learn the intricacies of effective sales communication.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.