Redner’s Markets Experiences Immediate Benefits with RF-SMART
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- RF-SMART
- JD Edwards EnterpriseOne
技术栈
- Automated Data Collection (ADC)
- Cycle Counting
- Warehouse Reporting
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
- Customer Satisfaction
技术
- 功能应用 - 仓库管理系统 (WMS)
- 功能应用 - 库存管理系统
- 分析与建模 - 实时分析
适用行业
- 食品与饮料
- 零售
适用功能
- 仓库和库存管理
- 物流运输
用例
- 库存管理
- 仓库自动化
- 预测性维护
- 资产跟踪
服务
- 系统集成
- 软件设计与工程服务
- 培训
关于客户
Redner’s Markets, Inc. is a grocery chain with over 50 retail locations across the Northeast United States. Redner’s Markets Inc. began in 1970 with two small supermarkets in Pennsylvania. Today, Redner’s operates 43 warehouse markets and 14 Redner’s Quick Shoppe convenience stores across Pennsylvania, Delaware, and Maryland. This success can be attributed, in part, to their commitment to being at the forefront of change within the food and beverage industry. For example, Redner’s was the first Pennsylvania supermarket to have scanners and a recycling program. They have also strived to stay on the cutting edge of technology within their warehouse operations.
挑战
In 1999, Redner’s purchased JD Edwards and is currently running EnterpriseOne version 8.12. By 2009, with business continuing to grow, Redner’s began researching automated data collection solutions. With the amount of stores they were running, products they were selling, and increasing legislation in the food and beverage industry, Redner’s needed an ADC solution that would help them streamline operation between their two warehouses and numerous stores. Redner’s found RF-SMART through an internet search and chose it for its functionality, which extended beyond competing ADC solutions.
解决方案
Redner’s first goal for the RF-SMART implementation was to increase efficiency within inventory control. Step one of this process was to cut down on manual data entry, which Redner’s had been using for all transactions. With the RF-SMART implementation, Redner’s was able to sync transactional information with JDE, making data digital and available in real time. This provided the visibility into operations that has now become almost imperative in the food and beverage industry. Cost-savings is also a byproduct of digital order processing and product visibility, as slow turn-around time could mean missed sales opportunities. Additionally, Redner’s uses RF-SMART’s label printing and cycle counting capabilities within their warehouses. Through RF-SMART, shipping labels can be prepared and printed on the warehouse floor to expedite the delivery process. Leveraging RF-SMART’s cycle counting functionality has enabled Redner’s to maintain an accurate count of various products across their two different warehouse locations.
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
The Kellogg Company
Kellogg keeps a close eye on its trade spend, analyzing large volumes of data and running complex simulations to predict which promotional activities will be the most effective. Kellogg needed to decrease the trade spend but its traditional relational database on premises could not keep up with the pace of demand.
Case Study
HEINEKEN Uses the Cloud to Reach 10.5 Million Consumers
For 2012 campaign, the Bond promotion, it planned to launch the campaign at the same time everywhere on the planet. That created unprecedented challenges for HEINEKEN—nowhere more so than in its technology operation. The primary digital content for the campaign was a 100-megabyte movie that had to play flawlessly for millions of viewers worldwide. After all, Bond never fails. No one was going to tolerate a technology failure that might bruise his brand.Previously, HEINEKEN had supported digital media at its outsourced datacenter. But that datacenter lacked the computing resources HEINEKEN needed, and building them—especially to support peak traffic that would total millions of simultaneous hits—would have been both time-consuming and expensive. Nor would it have provided the geographic reach that HEINEKEN needed to minimize latency worldwide.
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
Energy Management System at Sugar Industry
The company wanted to use the information from the system to claim under the renewable energy certificate scheme. The benefit to the company under the renewable energy certificates is Rs 75 million a year. To enable the above, an end-to-end solution for load monitoring, consumption monitoring, online data monitoring, automatic meter data acquisition which can be exported to SAP and other applications is required.
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.