通过劳动力管理创造奇迹
公司规模
Large Corporate
地区
- Europe
国家
- Netherlands
- Belgium
- France
- Germany
- United Kingdom
产品
- JDA Workforce Management
- JDA Advanced Scheduling
- JDA Time & Attendance
- JDA Task Management
技术栈
- Workforce Management Software
- Scheduling Software
- Time & Attendance Software
- Task Management Software
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
- Customer Satisfaction
技术
- 功能应用 - 企业资源规划系统 (ERP)
适用行业
- 零售
适用功能
- 人力资源
用例
- 库存管理
- 预测性维护
关于客户
HEMA 是一家领先的欧洲零售商，在荷兰、比利时、卢森堡、法国、德国和英国拥有约 650 家门店。该公司成立于 1926 年，以其自有品牌的高品质、低价家庭用品、家居装饰、服装和新鲜食品系列而闻名。该公司拥有 10,000 多名员工，认识到有效的人力资源管理对其成功至关重要。HEMA 经营跨所有门店形式的多类别零售业务，旨在优化劳动力成本并确保高水平的客户服务。
挑战
HEMA 是一家领先的欧洲零售商，在荷兰、比利时、卢森堡、法国、德国和英国拥有约 650 家门店，在管理超过 10,000 名员工方面面临挑战。该公司认识到，有效的人力资源管理对其成功至关重要。HEMA 希望实施一种新的劳动力管理系统，以优化劳动力成本，确保高水平的客户服务，并解决所有门店形式的多品类零售业务的所有运营问题。另一个目标是鼓励不同地区的员工之间进行协作和最佳实践共享。该公司进行了严格的流程来确定合适的技术解决方案，在做出选择之前评估了 12 家供应商。
解决方案
HEMA 选择了 JDA Software 的门店运营解决方案套件。该公司实施了 JDA 劳动力管理，包括 JDA 考勤、JDA 高级排程以及 JDA 任务管理。JDA 高级排程使 HEMA 能够将员工的时间和技能与实际门店客流量相匹配，从而将排程准确率提高了约 18 个百分点。这使得该公司能够为客户提供更好的服务。JDA 劳动力管理中高度准确的预测引擎是 HEMA 成功的关键因素，销售预测引擎的误差仅为 1% 或 2%。这让该公司对劳动力需求和成本有了深入的了解，使其能够通过在正确的时间和地点安排合适的人员来改善客户服务。
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.
