Conn’s Looks to Gain New Insight
公司规模
1,000+
地区
- America
国家
- United States
产品
- EthicsPoint®
技术栈
- Hotline Reporting System
- Web Intake Reporting
- Case Management System
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- 零售
适用功能
- 商业运营
用例
- 欺诈识别
- 监管合规监控
服务
- 系统集成
关于客户
Conn’s is a specialty retailer currently operating 75 retail locations in Texas, Louisiana and Oklahoma. The company sells home appliances, including refrigerators, freezers, washers, dryers, dishwashers and ranges and a variety of consumer electronics. Conn’s also sells lawn and garden products, furniture and mattresses and continues to introduce additional product categories for the home to help respond to its customers’ product needs and to increase same store sales. Unlike many of its competitors, the company provides flexible in-house credit options for its customers. In the last three years, the company financed, on average, approximately 60 percent of its retail sales.
挑战
At the end of 2010, Conn’s Vice President of Enterprise Risk Management Byron Smith began searching for a world-class provider to help address hotline and communication opportunities with its associates. Conn’s sought a solution to replace three different hotlines across the company and corral hotline information into a single repository for analysis to provide its more than 4,000 associates additional methods to report on issues and events within the organization. The company’s previous system didn’t combine all the information; it simply handled each report on an individual basis without an overall systematic approach. Additionally, the team wanted to ensure that they could effectively capture a few key pieces of information with regularity.
解决方案
Conn’s decided to implement EthicsPoint’s case management solution to create a cross-departmental database for tracking issues and investigations to improve efficiency. All hotline processes were streamlined and multiple custom web report forms automated manual processes for capturing information on specific incidents across the organization. The new case management system provided the dissection of all data collected within a central repository and enabled Conn’s to quickly spot trends, analyze financial performance and uncover key organizational vulnerabilities.
运营影响
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
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
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
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.
