An AI/ML-powered insight and improvement tool to help bricks and mortar Mission-Led Business (MLBs) to improve advertising, marketing and business performance

一款由 AI/ML 驱动的洞察和改进工具，可帮助实体任务主导型企业 (MLB) 改善广告、营销和业务绩效

• 批准号: 10067255
• 金额: $ 5.98万
• 依托单位: IN GOOD COMPANY GROUP LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10067255
• 关键词: AI; ML; powered; insight; improvement

In Good Company (InGC) is a female-led, tech-for-good SME on a mission to power the growth of 'bricks-and-mortar' ethical, sustainable, mission-led businesses (MLBs), in retail, hospitality, leisure and entertainment.The growing MLB sector has a significant part to play in the economy's future and in tackling environmental and societal challenges. But many of these businesses struggle to reach enough customers to scale and drive transformative impact, due to a lack of time, digital and marketing skills. That's where InGC comes in.We have created a free web-app for consumers to find MLBs at the touch of a button. It's the first search engine platform dedicated to bricks-and-mortar MLBs (such as cafes, restaurants, shops, salons and hotels). It makes it easy to support verified MLBs tackling environmental, societal and economic challenges.Our Mission-Led Business Improvement Tool (MLBIT) builds on data generated from the app and will use machine learning (ML) and artificial intelligence (AI) to generate recommendations for MLBs to improve their advertising, marketing and business performance. By analysing consumer behaviour and similar businesses, MLBs will be able to easily understand where they are lagging - or succeeding - and be provided with recommendations for online and offline changes to improve.

在Good Company（INGC）中，是一位女性领导的，技术上好的中小企业，他的使命是为“实体，可持续的，以任务为主导的企业（MLB），零售，酒店，休闲和娱乐活动的道德，可持续性，任务领导的企业（MLBS）的发展。但是，由于缺乏时间，数字和营销技能，这些企业中的许多企业都难以吸引足够的客户来扩展和推动变革性的影响。这就是INGC进入的地方。我们创建了一个免费的Web应用程序，供消费者通过按钮找到MLB。这是第一个致力于实体MLB（例如咖啡馆，餐馆，商店，沙龙和酒店）的搜索引擎平台。它可以轻松地支持经过验证的MLB解决环境，社会和经济挑战。我们以任务主导的业务改进工具（MLBIT）为基于该应用程序生成的数据，并将使用机器学习（ML）和人工智能（AI）来生成MLB的建议，以改善其广告，营销和业务绩效。通过分析消费者的行为和类似业务，MLB将能够轻松了解它们在落后或成功的位置，并为在线和离线变更提供改进的建议。