公司规模
Large Corporate
地区
- America
国家
- United States
产品
- JDA® Allocation
技术栈
- Cloud Services
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 基础设施即服务 (IaaS) - 云计算
适用行业
- 零售
用例
- 库存管理
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
Talbots 是一家领先的多渠道零售商,拥有 540 家门店。该公司致力于为客户创造创新的购物体验。为了满足客户的需求,Talbots 需要优化每家门店的商品组合。该公司使用的是 20 年前的系统,无法提供必要的洞察力和功能。旧系统需要大量人工操作,并且存在一些限制,导致用户无法将包装和散装产品一起分配,也无法查看销售趋势。该公司需要一种新技术来实现更准确、更有意义的分配。
挑战
Talbots 是一家领先的多渠道零售商,该公司希望优化其 540 家门店的商品组合。该零售商使用的是 20 年前的系统,无法提供满足客户需求所需的洞察力和功能。旧系统需要大量人工,并且存在一些限制,导致用户无法将包装和散装产品一起分配,也无法查看销售趋势。该公司需要一种新技术来实现更准确、更有意义的分配。目标是用先进的分配技术取代旧系统,通过在正确的时间将正确的商品放置在正确的位置来优化每家门店的潜力。
解决方案
Talbots 选择了 JDA Software 零售规划解决方案中的 JDA Allocation,因为它具有先进的分析功能。该解决方案允许 Talbots 一次分配多个项目,使零售商能够尽可能快速轻松地按商店确定其理想的产品组合。为了缩短实施时间并最大限度地减少内部资源限制,Talbots 决定通过 JDA 的 Cloud Perform 服务部署分配解决方案。该服务通过硬件和软件管理优化性能,并管理问题解决、变更管理和安全性等领域。借助 JDA Allocation,Talbots 可以根据最近的销售趋势调整计划分配,同时分配多个提前发货通知 (ASN),并将创建分配所需的时间缩短了约 90%。
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.