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

由于客流量减少，相当大比例的商业街企业损失了收入，而网购趋势的增加反过来又导致销售额下降，新冠肺炎疫情加剧了这一问题。这种情况使缺乏资源转向在线模式、无法与大型现有企业竞争的小企业面临更大的失败风险。Local-E旨在以新的网络忠诚度平台(Local EPay)的形式提供可持续和高效的解决方案，该平台利用机器学习来增加客流量和销售额，并将商家成本降至最低。

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.