An innovative decision intelligence tool that uses AI/ML to perform 360 diagnostics of SME data and provide actionable strategies for improvement

Honu是一家英国决策情报中小企业，核心项目团队包括Imad Riachi（首席执行官），Jun Jie Lisa Ma-Lender（战略和运营主管），Reid Cockrell（产品主管）和Sami Eid（特别项目）。在英国，每年有超过60万家初创公司成立，但20%的公司在第一年就倒闭了，只有40%的公司能存活三年以上。企业失败最常见的原因是现金流、不了解市场、缺乏现实的商业计划以及对如何经营企业理解不足。如果企业有正确的专家建议和指导，所有这些问题都可以避免。然而，对于大多数中小企业来说，这是无法承受的。此外，中小企业难以获得融资，因为申请流程可能笨拙且难以驾驭。Honu正在为中小企业电子商务企业开发一种实时决策智能工具，它模拟了人类战略顾问的能力。该工具连接所有可用的业务数据，执行360度诊断，并利用AI/ML技术来理解和推理业务。它分析统计数据，并提供见解、可操作的策略和逐步改进计划，以指导业务所有者。如果该工具得出结论认为融资将有利于企业，它还包括与金融生态系统的链接。根据其可行性研究，Honu的目标是将创业失败率降低11.5%，从而保护就业机会和英国经济。

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.