The Container Store's Mobile App 'The Score' Enhances Sales and Payroll Performance Analysis
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- The Score
- MicroStrategy Mobile QuickStrike
- MicroStrategy platform
技术栈
- MicroStrategy
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
- Employee Satisfaction
技术
- 分析与建模 - 预测分析
- 功能应用 - 企业资源规划系统 (ERP)
- 应用基础设施与中间件 - 数据可视化
适用行业
- 零售
适用功能
- 销售与市场营销
- 商业运营
- 质量保证
服务
- 系统集成
- 软件设计与工程服务
- 培训
关于客户
The Container Store, founded in Dallas in 1978, is a retail chain devoted to storage and organization. With 60 stores across the US and annual sales growth in the double digits, the company forecasts sales of approximately $766 million for 2013. They stock over 10,000 products, adding nearly 2,000 new products annually. The company prides itself on being a workplace of choice, with no layoffs or store closings during the recent economic recession. Employees are compensated much higher than the industry average, which helps attract and retain talented and dedicated people. The Container Store has been on Fortune’s 100 best companies to work for 14 years in a row, ranking number one for two of those years.
挑战
The Container Store faced the challenge of needing actionable, consistent, and timely reporting for their store leadership team. They had been relying on email and spreadsheets for reporting, which was not efficient or effective. The executive team identified gaps in store reporting as the greatest opportunity for improvement and innovation. They needed a solution that could provide comprehensive sales and payroll performance analysis, and also optimize personnel schedules based on current trends and predictive analysis.
解决方案
The Container Store partnered with MicroStrategy to develop 'The Score', a mobile app that provides executive sales recap, payroll performance, company sales, store sales, flash sales, and trend reports. The app was developed using a 'whole brained approach', involving all business units to decide on KPIs and create storyboards for the app's design. The app includes 14 dashboards and provides information about payroll and actionables to optimize schedules based on current trends and predictive analysis. The QuickStrike initiative demonstrated the power of the MicroStrategy platform to bring dashboards to mobile devices, shifting from email and spreadsheet reporting to mobile devices.
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
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.
