下载PDF
Coherent Path: Enhancing Retail Customer Engagement with IBM InfoSphere BigInsights
技术
- 分析与建模 - 大数据分析
适用行业
- 零售
适用功能
- 销售与市场营销
用例
- 预测性维护
服务
- 云规划/设计/实施服务
- 数据科学服务
挑战
Coherent Path 是一家个性化先驱企业,旨在帮助其零售客户利用客户数据来提供针对整个客户旅程(而不仅仅是下一步)进行优化的体验和优惠。该公司希望通过超越简单的“您可能还喜欢”推荐,帮助其零售客户最大化短期收入以及客户终身价值,从而与竞争对手脱颖而出。产品和渠道数量极其复杂,零售商很难了解客户的行为和偏好,特别是如果他们只使用最近邻统计分析。
关于客户
Coherent Path 是一家总部位于马萨诸塞州波士顿的公司,专门提供基于云的个性化和预测分析解决方案。该公司通过提供前所未有的洞察力帮助零售商更好地与客户互动,使零售商能够定制促销活动,从而提高客户忠诚度和终身价值。Coherent Path 收集了至少两年的产品、交易和客户数据。该公司旨在帮助零售商了解最佳消费者旅程是什么样的,以便他们能够了解独特客户目前的发展方向,并以个性化、定制化的方式培养他们。
解决方案
Coherent Path 部署了 IBM InfoSphere BigInsights 软件来支持其革命性的分析方法 — 基于使用高级双曲几何来构建零售商产品和交易的多维地图。IBM InfoSphere BigInsights 旨在管理和分析企业每天生成的大量、多样且快速的结构化和非结构化数据。Coherent Path 将这些原始数据转换成复杂的地图,揭示个人客户在忠诚度道路上的轨迹。InfoSphere BigInsights 核心的分布式计算在使 Coherent Path 能够对大量零售数据执行高度复杂的几何运算方面发挥着关键作用。
运营影响
数量效益
相关案例.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.