SPARK (Scaling business through Prospect identification using Ai and Realtime market Knowledge)

SPARK（使用人工智能和实时市场知识通过潜在客户识别来扩展业务）

• 批准号: 51132
• 金额: $ 35.11万
• 依托单位: PELUCID LIMITED
• 依托单位国家: 英国
• 项目类别: Study
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=51132
• 关键词: SPARK; Scaling; business; through; Prospect

**Project Vision** - To scale nationally and internationally SMEs and large businesses must identify and market their products and services to new customers ("prospects"). However, understanding unknown prospects in any region is expensive, inefficient and risky (especially considering COVID-19). Processes (identifying prospects, understanding prospect value, targeting, marketing and understanding internal knowledge) are complex and challenging, even for large enterprises and especially for SMEs, resulting in just 9.8% UK SMEs exporting (FSB, 2018).Artificial Intelligence (AI) and Machine Learning (ML) have the potential to revolutionise the process of scaling businesses to new markets and export.With Innovate UK support, Growth Intelligence has developed a platform allowing UK businesses to identify any UK-registered company that is likely to buy their product/service. To expand internationally, SPARK must radically innovate the platform with advanced AI/ML to predict both SMEs' and large enterprises' most suitable worldwide prospects and marketing channels for maximum return-on-investment (RoI).**Key Objectives -** Industrial Research to develop and validate a platform that SMEs and large enterprises can use to quickly and accurately identify and target prospects.

**项目愿景** - 要在国内和国际中小企业进行扩展，大型企业必须将其产品和服务识别并向新客户销售（“潜在客户”）。但是，了解任何地区的未知前景都是昂贵，效率低下且风险的（尤其是考虑到Covid-19）。即使对于大型企业，尤其是对于中小型企业来说，流程（确定前景，了解前景价值，定位，市场营销和理解内部知识）都是复杂且具有挑战性的，只有9.8％的英国中小型企业出口（FSB，2018年）。和机器学习（ML）有可能彻底改变将业务扩展到新市场并出口的过程。在英国的Innovate Support，增长情报已开发了一个平台，允许英国企业确定任何可能购买其产品的英国注册公司/服务。要在国际上进行扩展，Spark必须从根本上使用高级AI/ML来创新平台，以预测中小型企业和大型企业的最合适的全球前景和营销渠道，以最大程度地回报（ROI）。**关键目标 - **工业目标 - **研究和验证中小企业和大型企业可以用来快速准确地识别和针对前景的平台的研究。