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An agent based modelling solution for reliable decision making in crisis and market turmoil in consumer retail

基于代理的建模解决方案，可在消费品零售业的危机和市场动荡中做出可靠的决策

基本信息

批准号：
70686
负责人：
金额：
$ 24.95万
依托单位：
SINGULAR INTELLIGENCE LIMITED
依托单位国家：
英国
项目类别：
Study
财政年份：
2020
资助国家：
英国
起止时间：
2020 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=70686
关键词：
agent based modelling solution reliable

项目摘要

The project aims to build business decision support techniques for market crisis and turmoil with a focus on consumer goods and retail Industry. Existing solutions for the stable state do not work in these times due to challenges of data and modelling techniques. The project is an Industrial research project that plans to apply new developments in Artificial intelligence for building dynamic market simulation and anomaly detection capabilities that will enable reliable and explainable decision making with proactive business optimisation ability in times of uncertainty, which now occur quite often and last several months and sometimes years. The project is led by Singular Intelligence Limited who have an existing Applied AI platform for Consumed Goods & Retail. The academic research collaborator is Loughborough University, who has deep experience in AI research and Agent-based modelling. The project is expected to have a game-changing impact by enabling survival, growth and business innovation in a disrupted Retail Industry. As a consequence, the efficiency gains, asset optimisation, the waste reduction will also create a positive broader impact on society and the environment. The technology will also have applications in other industries; eventually, an initial idea of which is also stipulated to be established in the later part of this project.

该项目旨在建立针对市场危机和动荡的商业决策支持技术，重点是消费品和零售业。由于数据和建模技术的挑战，现有的稳定状态解决方案在这些时候不起作用。该项目是一个工业研究项目，计划将人工智能的新发展应用于构建动态市场模拟和异常检测功能，从而在不确定性时期实现可靠和可解释的决策，并具有主动的业务优化能力，这种不确定性现在经常发生，持续数月甚至数年。该项目由Singular Intelligence Limited领导，该公司现有的消费品和零售应用人工智能平台。学术研究合作者是拉夫堡大学，该大学在人工智能研究和基于agent的建模方面拥有丰富的经验。该项目有望通过在混乱的零售业中实现生存、增长和业务创新，从而产生改变游戏规则的影响。因此，效率的提高、资产的优化、废物的减少也将对社会和环境产生更广泛的积极影响。这项技术还将应用于其他行业；最终，一个初步的想法也被规定在这个项目的后期建立。