An innovative decision intelligence tool that uses AI/ML to perform 360 diagnostics of SME data and provide actionable strategies for improvement
An innovative decision intelligence tool that uses AI/ML to perform 360 diagnostics of SME data and provide actionable strategies for improvement
批准号:
10046616
负责人:
金额:
$44.12万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --
中文摘要
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英文摘要
Honu is a UK decision intelligence SME with a core project team of Imad Riachi (CEO), Jun Jie Lisa Ma-Lender (Head of Strategy and Operations), Reid Cockrell (Head of Product) and Sami Eid (Special Projects).Over 600K startups are established every year in the UK, but 20% go under in their first year, and only 40% survive beyond three years. The most common reasons businesses fail are cash flow, not understanding the market, the lack of a realistic business plan and insufficient understanding of how to run a business. All such issues could be avoided if the businesses had the right sort of expert advice and guidance. However, for most SMEs, this is unaffordable. Furthermore, SMEs struggle to access finance as the application processes can be unwieldy and difficult to navigate.Honu is developing a real-time decision intelligence tool for SME e-commerce businesses that simulates the capabilities of a human strategy consultant. The tool connects all the available business data, performs 360 diagnostics and leverages AI/ML technology to understand and reason about the business. It analyses the statistics and provides insights, actionable strategies and a step-by-step improvement plan to guide the business owner. It also includes links to the financial ecosystem if the tool concludes that financing would benefit the business.Based on its feasibility study, Honu aims to reduce startup business failure rates by 11.5%, therefore protecting jobs and the UK economy.
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
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批准号:--
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项目类别:合作创新研究团队
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资助金额:--
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批准年份:2024
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负责人:姚韬
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依托单位:
补偿性还是非补偿性规则:探析风险决策的行为与神经机制
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批准号:31170976
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项目类别:面上项目
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资助金额:64.0万元
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批准年份:2011
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负责人:李纾
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依托单位:
基于神经营销学方法的品牌延伸认知与决策研究
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批准号:70772048
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项目类别:面上项目
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资助金额:20.0万元
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批准年份:2007
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负责人:马庆国
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依托单位: