Feasibility study of the application of AI to project management, operations and labour sourcing in the residential construction industry
Feasibility study of the application of AI to project management, operations and labour sourcing in the residential construction industry
批准号:
10079095
负责人:
金额:
$6.36万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
已结题
起止时间:
2023 至 --
中文摘要
**Hardy Wilcox Ltd,以TradeWork的名义,是一家早期创业公司,旨在改善与管理房地产相关项目相关的流程,成本和时间。我们的服务对象包括业主、地产发展商、贸易承建商、专业人士及劳工。该项目旨在研究在TradeWork的核心平台中利用人工智能的可行性,以造福其客户和自身的商业案例。**项目目标**该项目的目标是:*研究应用人工智能/机器学习的可行性,以改善与住宅建筑项目采购和管理质量交易相关的流程和结果*研究TradeWork的商业机会,以利用这些发现在其业务中获得商业利益*证明目前英国住房库存不足的情况可以通过利用人工智能从小型到大型开发商以及**项目结果** TradeWork项目的预期结果是:*证明假设,如果在建筑行业使用人工智能,那么可以实现更好的结果(速度/价值/时间/风险等)。*利用人工智能对TradeWork进行市场机会评估*将人工智能/机器学习整合到TradeWorks核心平台的概念验证*验证TradeWork的商业案例并展示人工智能改善英国住宅建筑业的潜力**项目方法** TradeWork项目将分三个阶段实施:_第一阶段:研究_*相关业务流程和数据* AI/ML技术、应用和可能的艺术_第二阶段:_*基于对TradeWork核心平台的研究构建AI/ML能力_第三阶段:_*市场研究和商业案例验证和可行性评估**项目团队** TradeWork项目团队由具有建筑行业、AI和业务开发经验的经验丰富的专业人士组成。该团队由Piers Wilcox领导,他在计算机科学和咨询方面拥有超过20年的经验,并得到了住宅建筑和贸易专家的支持。**项目时间表** TradeWork项目计划在六个月内完成。**项目预算** TradeWork项目的总成本为**£57,929.20**。你所要求的拨款是50,000英镑。TradeWork将通过商业贷款和额外的董事贷款捐款来资助他们的捐款(约88%/ 44,000英镑)。onefour将通过现金储备提供资金(约6000英镑)。**项目效益**TradeWork有潜力显著提高施工过程的效率和准确性。这可能会带来许多好处,包括:*降低成本*提高质量*缩短项目时间*提高生产力*减少浪费
英文摘要
**Project Overview**Hardy Wilcox Ltd, under the name of TradeWork, is an early-stage startup aiming to improve processes, cost, and time associated with managing property-related projects. Our services are relevant to landlords, property developers, trade contractors, professionals, and labourers. This Project aims to investigate the feasibility of leveraging AI within TradeWork's core platform for the benefit of its customers and its own business case.**Project Objectives**The objectives of this project are:* Research the feasibility of the application of AI/ML to improve the processes and outcomes in relation to sourcing and managing quality trades for residential construction projects* Research the business opportunities for TradeWork to leverage these findings for commercial benefit within its business* Prove that the current UK housing stock deficit situation could be improved by utilising AI from small to large developers as well as councils across the UK**Project Outcomes**The expected outcomes of the TradeWork project are:* Prove hypothesis that if AI is used in the construction industry then better outcomes (speed/value/time/risk etc) can be achieved.* Market opportunity assessment for TradeWork leveraging AI* Proof of concept integration of AI/ML into TradeWorks core platform* Validate TradeWork's business case and demonstrate the potential of AI to improve the UK residential construction industry**Project Approach**The TradeWork project will be implemented in three phases:_Phase 1: Research_* Relevant business processes and data* AI/ML technology, applications, and the art of the possible_Phase 2:_* Build AI/ML capability based on the research into the core TradeWork platform_Phase 3:_* Market research and business case verification and feasibility assessment**Project Team**The TradeWork project team is composed of experienced professionals with expertise in the construction industry, AI, and business development. The team is led by Piers Wilcox, who has over 20 years of experience in computer science and consultancy, supported by experts in residential construction and trade.**Project Timeline**The TradeWork project is scheduled to be completed in six months.**Project Budget**The total cost of the TradeWork project is **£57,929.20**. The grant that you are requesting is £50,000.00\. TradeWork will finance their contributions (~88%/£44k) via a business loan and additional Director Loan contributions. OneFourFOur will fund via cash reserves (~£6k).**Project Benefits**TradeWork has the potential to significantly improve the efficiency and accuracy of the construction process. This could lead to a number of benefits, including:* Reduced costs* Improved quality* Shorter project timelines* Increased productivity* Reduced Waste
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