I-Corps: Business Analytics for Large Scale Intelligence

在过去的20年里，传统的实体店一直在努力寻找策略，在理解顾客的行为和偏好方面与在线商店竞争。在线商店可以很容易地根据客户购买和看到的内容创建个性化的广告。相比之下，传统商店没有这样的信息，无法提供个性化的体验，吸引顾客进入商店，鼓励顾客进入商店后购买。了解客户的需求目前通过调查、焦点小组、店内观察员、销售记录和市场趋势来满足。调查和焦点小组的成本很高，会扰乱客户的购买过程。店内观察员是劳动密集型的，不能同时记录许多顾客的活动。销售记录显示了已售出的产品，但没有任何关于客户购买或不购买产品的原因的信息。该研究团队创建了大型智能商业分析(BALSI)系统，该系统允许零售商进行实时、动态和个性化的广告和促销活动，以吸引顾客进入商店。BALSI系统使用来自店内摄像头系统的视频流的视觉分析来观察购物者的行为、移动、凝视和其他行为。从这些数据中，可以挖掘信息来帮助零售商更好地吸引、留住和满足客户。BALSI的软件解决方案在不干扰客户的情况下分析在商店捕获的视频，并且不需要任何额外的员工。该软件将分析客户的特征，向客户呈现趋势和模式，并创建动态广告来吸引客户进入商店。在商店内部，该软件可以自适应地尝试增加购物者购买的可能性。BALSI的软件还通过提醒商店同事帮助似乎正在寻找东西的顾客来增加人力销售人员。与试图通过跟踪客户手机信号在零售区做类似事情的技术相比，这项技术不识别人脸，并提供更好的隐私保护。

For the last 20 years, traditional "brick-and-mortar" stores have been trying to find strategies to compete with on-line store in understanding customers' behaviors and preferences. An on-line store can easily create personalized advertisements, based on what a customer has purchased and seen. In contrast, traditional stores do not have such information and cannot provide personalized experience attracting customers into the stores and encouraging customers to buy after they are in the stores. Understanding customers' needs are currently met by surveys, focus groups, in-store observers, sales records, and market trends. Surveys and focus groups are costly and disrupt customers' buying process. In-store observers are labor-intensive and cannot record many customers' activities at once. Sales records show what has been sold, without any information about why customers do or do not purchase products. This research team has created the Business Analytics for Large-Scale Intelligence (BALSI) system that allows retailers to make real time, dynamic, and personalized advertisements and promotions to attract customers into the stores.The BALSI system uses visual analysis of video stream from in-store camera systems to observe a shopper's behavior, movement, gaze and other actions. From such data, information can be mined to help the retailer better attract, retain, and satisfy customers. BALSI's software solution analyzes the videos captured in stores without interfering with the customers and does not require any additional employees. The software will analyze the characteristics of customers to presents trends and patterns to the clients and to create dynamic advertisements to attract the customers into stores. Inside the store, the software can adaptively try to increase the likelihood of a purchase by a shopper. BALSI's software also augments human sales people by alerting a store associate to help a customer that appears to be looking for something. The technology does not recognize faces and offers better privacy protection when compared with technologies that attempt do similar things within the retail area by tracking the signals coming from a customer's phone.