公司规模
Large Corporate
地区
- Europe
国家
- United Kingdom
产品
- Blue Yonder’s demand and fulfillment solutions
- Blue Yonder’s workforce management
- Blue Yonder’s Luminate Planning solutions
技术栈
- Cloud Computing
- Software-as-a-Service (SaaS)
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 基础设施即服务 (IaaS) - 云计算
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 零售
适用功能
- 物流运输
- 采购
用例
- 供应链可见性(SCV)
- 库存管理
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
Marks & Spencer 是一家总部位于伦敦的领先跨国零售商。该公司专营服装、家居用品和食品,主要是自有品牌。该公司拥有近 1000 家门店,2020 年收入超过 130 亿美元。多年来,Marks & Spencer 一直依靠 Blue Yonder 的需求和履行解决方案以及劳动力管理来优化流程、管理复杂性和支持响应能力。该公司需要将其所有 Blue Yonder 解决方案迁移到云中,以提高敏捷性并加快供应链速度,从而为客户提供最佳服务。
挑战
总部位于伦敦的领先跨国零售商 Marks & Spencer 一直依赖 Blue Yonder 的需求和履行解决方案以及劳动力管理来优化流程、管理复杂性并支持响应能力。然而,该公司需要将其所有 Blue Yonder 解决方案迁移到云中,以实现更高的敏捷性并提高供应链速度,从而为客户提供最佳服务。挑战在于在云迁移期间尽量减少业务中断,因为 Blue Yonder 需求和履行是其任务关键型应用程序之一,可为其下游系统生成订单。该公司无法承受其商店每天不补货的后果。
解决方案
在塔塔咨询服务公司 (TCS) 和微软的支持下,玛莎百货成功迁移到云端。新的软件即服务 (SaaS) 交付模式可最大程度地提高速度、容量和创新。该公司的全新云交付模式带来了诸多好处。他们不受运行数据中心的成本和复杂性的束缚,可以立即访问任何新功能,帮助用户更有效地完成工作。Blue Yonder 渠道中有许多令人兴奋的创新,他们可以立即访问这些创新。Blue Yonder 的需求计划功能可整合和同步玛莎百货近 1000 家门店的需求信号以及外部变量。零售商利用规范性建议做出更准确的决策,从库存分期到最大化周转率。
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.