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

通过明确的比较、便利或特色服务提供一致和一致的客户体验的零售中心比集体服务不明确的中心表现更好。我们的项目将全天候的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的交易地点，并相应地调整他们的个人运营。这将改善客户体验，增加客流量的位置和更多的营业额/利润的零售商。我们的项目是创新的，重点是改善较小地区（艾尔、巴利米纳、布里斯托、康格尔顿、霍尔姆菲尔特、莫利和弗雷克瑟姆）的客户体验。它将根据客户活动和反馈，为零售商、投资者和地方管理者定义新的城镇分类。最后，它在一个新的界面中汇集了一套独特的指标，使用户和零售地点能够预测可能影响其绩效的干预措施和趋势的结果（如停车收费或延长营业时间），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.