Improving the Consumer Experience in Retail: Bringing big data to small users

零售中心通过明确定义的比较、便利或特长优惠提供一致和一致的客户体验，表现优于集体优惠不那么明确的中心。我们的项目将全天候客流量和其他消费者数据直接提供给零售商和其他商业街利益相关者，帮助他们更多地了解他们的客户和他们交易的地点，并相应地调整他们的个人业务。这将改善客户体验，增加到该地点的客流量，并为零售商带来更多营业额/利润。我们的项目是创新的，专注于改善较小地点(Ayr、Ballymena、Bristol、Congleton、Holmfith、Morley和Wrexham)的客户体验。它将根据客户活动和反馈，为零售商、投资者和场所经理定义新的城镇分类。最后，它在一个新的界面中汇集了一套独特的指标，允许用户和零售点预测可能影响其表现的干预措施和趋势的结果(如停车费或延长开放时间)，促进更好、更透明的决策。

Retail centres offering a consistent and congruent customer experience through a clearly defined comparison, convenience or speciality offer perform better than centres whose collective offer is not as clear. Our project brings 24/7 footfall and other consumer data directly to retailers and other high street stakeholders, helping them understand more about their customers and the locations they trade in, and adjust their individual operations accordingly. This will result in an improved customer experience, increased footfall to the location and more turnover/profit for the retailers. Our project is innovative as focuses on improving the customer experience in smaller locations (Ayr, Ballymena, Bristol, Congleton, Holmfirth, Morley and Wrexham). It will define new classifications of towns, for retailers, investors and place managers, based on customer activity and feedback. Finally it brings together a unique set of indicators, in a new interface, allowing users and retail locations to predict the outcome of interventions and trends that may affect their performance (like car-parking charges, or extended opening hours), facilitating better, more transparent, decision-making.