Critical Investigation of an AI Driven Loyalty Network System to Efficiently Increase Footfall at Small High Street Businesses.

对人工智能驱动的忠诚度网络系统进行批判性调查，以有效增加小型高街企业的客流量。

• 批准号: 98444
• 金额: $ 8.82万
• 依托单位: LOCAL E REWARDS LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=98444
• 关键词: Critical; Investigation; AI; Driven; Loyalty

A significant proportion of high-street businesses have lost revenue due to the decreased footfall and, in turn, sales due to the increased trend in online shopping, an issue exacerbated by the COVID-19 pandemic. This situation has placed small businesses who lack the resources to move towards an online model and cannot compete against larger incumbents, at an increased risk of failure. Local-E, aims to provide a sustainable and efficient solution in the form of a new network loyalty platform (Local ePay) which utilises machine learning to increase footfall and sales as well as minimize merchant costs.

由于足迹的下降，高街业务的大量企业损失了，而且由于在线购物的趋势增加而导致的销售额加剧了COVID-19的大流行。这种情况使小型企业缺乏资源来朝着在线模式发展，并且无法与大型现任者竞争，但失败的风险增加了。 Local-E旨在以新的网络忠诚度平台（本地EPAY）的形式提供可持续和高效的解决方案，该解决方案利用机器学习来增加足迹和销售，并最大程度地减少商人成本。