Building a Real-time Model of the UK Public Sector Procurement Industry

建立英国公共部门采购行业的实时模型

• 批准号: 10017810
• 金额: $ 44.47万
• 依托单位: STOTLE LTD.
• 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
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10017810
• 关键词: Building; Real; time; Model; UK

Transforming UK public procurement is a major government priority. New initiatives (outlined in a recent Green Paper) place procurement-transformation at the heart of post-COVID-19 economic recovery. Additionally, January 2021 saw the UK independently join the 'WTO Agreement on Government Procurement', unlocking huge international procurement opportunities. The UK government wishes to leverage the £290bn annual spend on public procurement to drive economic growth and deliver innovation and improvement across the public sector, and to improve public-contract-access for SMEs and social enterprises.To increase transparency and enable suitable suppliers/consortia to bid for contracts, the public sector is mandated by fair competition law to publish all opportunities as tenders.However, true transparency does not yet exist. Tender publications are scattered, with potential suppliers needing to search multiple platforms to find suitable tenders, creating a barrier to entry to the public market. SMEs are further disadvantaged as larger enterprises often have greater resources to scour many sources for relevant tenders, build relationships with public-sector entities, and gain an advantage by understanding requirements that may soon be put out to tender. The current system is equally challenging for public bodies seeking services from the private sector, as they have no visibility over suppliers' track records or ability to benchmark their capability to deliver outside of a bid created by the supplier.The outcome is a procurement landscape where large contracts are often awarded to the most convenient suppliers rather than the best-fit, resulting in poor value-for-money for the taxpayer and incredibly expensive controversies (e.g. the collapse of Carillion in 2019 that left 50,000 people unemployed).Stotles is applying best-in-class data science and machine learning technology to turn this fragmented public sector data into a knowledge base that gives stakeholders the information and the tools to deliver the maximum value on public contracts. This Innovate UK project will develop the tools to deliver potential suppliers with increasingly relevant leading indicators, enabling them to proactively engage with buyers and to allow buyers to quickly and accurately assess supplier fit. Solving this structural challenge will unlock public-sector opportunities and value chains for new suppliers and SMEs, and empower buyers to deliver better public services and value-for-money to taxpayers.

改革英国公共采购是政府的一项主要优先事项。新举措（在最近的绿皮书中概述）将采购转型置于新冠肺炎 (COVID-19) 后经济复苏的核心位置。此外，英国于 2021 年 1 月独立加入了“世贸组织协议”。英国政府希望利用每年 2900 亿英镑的公共采购支出来推动经济增长，推动公共部门的创新和改进，并改善中小企业获得公共合同的机会。为了提高透明度并让合适的供应商/财团能够投标合同，公平竞争法强制公共部门将所有机会作为招标公布。然而，真正的透明度尚不存在，潜在的招标出版物还很分散。供应商需要搜索多个平台来寻找合适的投标，这为进入公开市场设置了障碍，因为较大的企业往往拥有更多的资源来寻找相关投标的许多来源，与公共部门实体建立关系并获得收益。了解需求的优势可能很快就会进行招标，目前的系统对于寻求私营部门服务的公共机构来说同样具有挑战性，因为他们无法了解供应商的业绩记录，也无法衡量其在政府制定的投标之外的交付能力。结果是采购环境中，大额合同往往被授予最方便的供应商，而不是最合适的供应商，导致纳税人物有所值，并引发昂贵得令人惊讶的争议（例如，2019 年 Carillion 倒闭，左边50,000 人失业）。Stotles 正在应用一流的数据科学和机器学习技术，将这些分散的公共部门数据转变为知识库，为利益相关者提供信息和工具，以实现公共合同的最大价值。该项目将开发工具，为潜在供应商提供越来越相关的领先指标，使他们能够主动与买家接触，并让买家能够快速、准确地评估供应商的适合度，解决这一结构性挑战将为新供应商释放公共部门的机会和价值链。和中小企业，并赋权买家为纳税人提供更好的公共服务和物有所值。