“ChainAI: AI-Enabled Customised Workflows for Smarter Supply Chain Management”

该项目将利用数据绩效咨询公司的新数据平台Buttress，这是一个数字孪生框架，之前已经从Innovate UK获得了资金，我们将研究人工智能（AI）和机器学习（ML）技术如何增强Buttress的提供，特别是在一些垂直领域，但为了这个应用程序的目的，我们将研究物流领域的运输，特别是供应链管理（SCM）。拟议的ChainAI项目旨在探索利用人工智能解决方案来创造的可行性定制SCM工作流程，优化过程的每个阶段，提高SCM的效率、有效性和性能，并最终增强供应链操作和结果。该项目需要更深入地了解供应链数据，以确定关键模式、趋势和改进机会。通过深入了解供应链流程，该项目将为生产人工智能生成的工作流程铺平道路，这些工作流程将根据流程的每个阶段（从计划、采购到生产）的特定需求量身定制。我们将考虑包括基于遗留系统、新应用程序和硬件的各种数据源，例如基于开放连接基金会新ISO标准的安全工业物联网设备。

The project will leverage the use of Data Performance Consultancy's new data platform Buttress, which is a digital twin framework and which has received funding previously from Innovate UK and we will look at how Artificial Intelligence (AI) and Machine Learning (ML) techniques can enhance the offer of Buttress specifically in a number of verticals but for the purposes of this application we will be looking at Transport and specifically Supply Chain Management (SCM) in the Logistics spaceThe proposed ChainAI project aims to explore the feasibility of leveraging AI solutions to create custom workflows for SCM that optimise each stage of the process, improving efficiency, effectiveness, and performance in SCM and ultimately enhancing supply chain operations and outcomes. The project will require a deeper insight into supply chain data to identify key patterns, trends, and opportunities for improvement. By gaining a thorough understanding of the supply chain process at a granular level, the project will pave the way towards producing AI-generated workflows that are tailored to the specific needs at each stage of the process, from planning and sourcing to production.We will look to include various data sources based on legacy systems, new applications and hardware such as secure Industrial Internet of Things devices based on a new ISO Standard the Open Connectivity Foundation.