公司规模
Large Corporate
地区
- Europe
国家
- Germany
产品
- Blue Yonder’s algorithm
- Blue Yonder’s causality model
技术栈
- Data Analysis
- Automation
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Revenue Growth
技术
- 分析与建模 - 预测分析
适用行业
- 零售
适用功能
- 销售与市场营销
用例
- 补货预测
服务
- 数据科学服务
关于客户
SELGROS 是一家位于德国的批发公司。该公司采用手动流程来决定哪些客户应该收到目录,该流程使用细分和决策树完成。该流程不仅耗时,而且效率低下,因为它没有考虑影响客户支出的所有因素。因此,该公司承认其营销预算没有得到有效利用。该公司寻求一种解决方案来自动化流程、降低广告成本并改善客户定位。
挑战
批发公司 SELGROS 的广告策略面临挑战。每两周,该公司会向客户邮寄多达一百万份宣传册。决定哪位客户应该收到目录是一个使用细分和决策树的手动过程。这个过程不仅耗时,而且效率低下,因为它没有考虑影响客户支出的所有因素。因此,该公司承认其营销预算没有得到有效利用。SELGROS 寻求一种解决方案来自动化流程、降低广告成本并改善客户定位。
解决方案
SELGROS 与 JDA 旗下公司 Blue Yonder 合作,实现了客户定位流程的自动化。Blue Yonder 分析了个人客户五年的购买历史,并在有广告和无广告的情况下预测了客户层面的购买概率和购物车大小。结果提供了最佳的客户选择。现在,在每次寄出目录之前,SELGROS 都会收到来自 Blue Yonder 的建议,并将其自动纳入到活动流程中。为了实现运营决策的自动化,Blue Yonder 使用他们自己的因果关系模型,该模型从数据中提取信息,揭示促销活动对个人客户购买决策的影响。这样,只有那些购买决策受到广告材料积极影响的客户才会收到宣传册。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
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
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
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
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.