公司规模
Mid-size Company
地区
- America
国家
- United States
产品
- CallMiner Eureka Interaction Analytics
- CallMiner myEureka Performance Feedback Portal
技术栈
- Speech Analytics
- Interaction Analytics
- Performance Management Portal
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
- Customer Satisfaction
技术
- 分析与建模 - 实时分析
适用行业
- 零售
- 电子商务
服务
- 数据科学服务
关于客户
TradeGlobal is a leading end-to-end eCommerce provider, delivering best-in-class services and solutions to the world’s most recognizable fashion, beauty and lifestyle brands. Unifying website development, digital marketing, creative services, fulfillment, logistics and customer care across domestic and international boundaries, TradeGlobal empowers businesses of all sizes to evolve and expand. To deliver on their value promise and provide their clients with excellent customer care, the company employs between 400-600 agents and staff across their call centers in West Chester and Fairborn, OH to support calls, email and chat for their contact center clients. Their agents handle over 3 million interactions per year, which are overseen by a team of four business analysts.
挑战
TradeGlobal, a leading end-to-end eCommerce provider, recognized that their customer care center is often the first live interaction a customer has with their client’s brand. They wanted to ensure they were delivering best-in-class service and customer experiences. To achieve this, they needed to identify ways in which agent performance could be continuously evaluated and improved. They also wanted to identify any underlying problems with their internal processes and systems, through which operational efficiencies could be realized. They did not set out to identify process and product improvements for their clients but this was one of the unexpected benefits of the insight delivered by the CallMiner Eureka Interaction Analytics solution.
解决方案
In June 2013, TradeGlobal set out to automate their call monitoring and review process by using speech analytics. They deployed the CallMiner Eureka interaction analytics solution to analyze 500 hours of interactions per day. Today, the company uses Eureka to automatically monitor and analyze up to 750 hours of customer interactions per day. All agents have access to the performance management portal which provides agents and their supervisors with personalized feedback on their performance. TradeGlobal’s customer care team uses CallMiner Eureka analytics technology to ensure that every interaction with their clients’ customers is being consistently analyzed and improved. TradeGlobal uses Eureka to monitor and objectively score 100 percent of the company’s interactions against customer-defined parameters. This has enabled them to create a full picture of the customer journey for each of their clients’ brands.
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.