KitDrop-AI: improving construction productivity by optimising equipment rental supply chain and logistics

英国建筑业占GDP的6%，提供了310万多个就业岗位（英国特许建筑学会），但在创新方面却落后于其他行业，生产率比整体经济低21%（英国建筑学会）。英国有30万家建筑公司，大多数公司更愿意租用设备，以更好地管理现金流和市场周期。设备供应方同样分散，有6，000家供应商，这意味着每个订单必须获得多个报价，这是劳动密集型和缓慢的。KitDrop-AI是一个旨在通过智能部署机器学习模型优化设备租赁供应链和物流来提高建筑行业生产力的项目。KitDrop-AI是英国建筑租赁市场初创公司GetMyEquipment Ltd（“GME”）与总部位于柴郡的数据科学和人工智能咨询公司Timelaps AI Ltd（“Timelaps”）之间的合作项目。

The UK's construction industry represents 6% of GDP and 3.1m+ jobs (Chartered Institute of Building) yet is a laggard in innovation, with productivity 21% below the wider economy (BEIS).There are 300,000 construction companies in the UK and most prefer to hire equipment to better manage cash-flow and market cycles. The equipment supply-side is equally fragmented, with 6,000 suppliers, meaning multiple quotes must be obtained per order which is labour-intensive and slow.KitDrop-AI is a project that aims to improve construction sector productivity by optimising equipment rental supply chain and logistics through intelligent deployment of machine learning models. It will also help to remove carbon emissions by optimising construction delivery traffic, which currently accounts for 30% of urban goods transport (Guerlain-et-al) or 35MtCO2e (DfT).KitDrop-AI is a collaboration between UK construction rental marketplace startup, GetMyEquipment Ltd ("GME") and Cheshire-based data science and AI consultancy, Timelaps AI Ltd ("Timelaps").