Globus CR 专注于通过机器学习驱动的自动化实现价值
公司规模
Large Corporate
地区
- Europe
国家
- Czech Republic
- Germany
- Luxembourg
- Russia
产品
- Luminate Demand Edge
- Luminate Store Fulfilment
技术栈
- Machine Learning
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 预测分析
适用行业
- 零售
适用功能
- 物流运输
- 仓库和库存管理
用例
- 补货预测
- 供应链可见性(SCV)
服务
- 数据科学服务
关于客户
Globus CR 隶属于 Globus 集团，该集团拥有 18,500 名员工，业务遍及三个国家。除了在德国拥有 47 家大卖场、91 家 DIY 商店和 6 家电子产品商店外，Globus 集团还在捷克共和国拥有 15 家全系列商店，在俄罗斯拥有 15 家全系列商店，在卢森堡拥有 2 家 DIY 商店。该公司的市场环境极其依赖促销和价格。他们的供应链管理策略面临挑战，特别是在促销和库存补充方面。由于数据洞察和规划活动分布在业务的不同部分，该公司还难以将促销剩余和缺货保持在合理水平。
挑战
Globus CR 隶属于格洛布斯集团，业务范围覆盖三个国家，在德国共有 47 家大卖场、91 家 DIY 商店和 6 家电子产品商店，在捷克共和国有 15 家全系列商店，在俄罗斯有 15 家，在卢森堡有 2 家 DIY 商店。该公司的供应链管理策略面临挑战，特别是在促销和库存补充方面。他们所处的市场环境极度依赖促销和价格，其促销计划流程是手动且繁琐的。这导致促销后库存积压严重，计划和处理成本高昂。劳动力成本的上涨推动了对自动化的需求。由于数据洞察和计划活动分布在业务的不同部分，该公司还难以将促销积压和缺货情况维持在合理水平。
解决方案
Globus CR 与 Blue Yonder 合作实施了 Luminate Demand Edge 和 Luminate Store Fulfilment。这些解决方案帮助该公司实现了更高的促销预测准确性以及更加需求驱动、自动化和集中化的促销计划和补货流程。借助 Luminate Demand Edge，Globus CR 能够通过纳入数百个额外的需求影响因素来开发超越传统确定性预测算法的高精度预测。该公司成功地从基于商店的手动促销流程转变为面向未来的集中式自动化流程，以实现更大的价值并更有效地服务客户。Globus 和 Blue Yonder 的联合团队特别专注于管理由 ML 驱动的自动化带来的变化，同时跟踪相关的 KPI 改进。
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.
