Insights on 50,000 Sales Consultants Are ‘In the Bag’
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- MicroStrategy Cloud Platform
- AWS SES
- Amazon EC2
- AWS CloudWatch
- MicroStrategy System Manager
技术栈
- MicroStrategy
- AWS
- Virtual Private Cloud (VPC)
- Amazon EC2
- AWS CloudWatch
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
技术
- 平台即服务 (PaaS) - 数据管理平台
- 基础设施即服务 (IaaS) - 虚拟私有云
- 分析与建模 - 预测分析
适用行业
- 零售
- Professional Service
适用功能
- 销售与市场营销
- 商业运营
用例
- 预测性维护
- 远程资产管理
- 车队管理
服务
- 云规划/设计/实施服务
- 系统集成
- 培训
关于客户
Thirty-One Gifts is a leading direct-selling company founded in 2003, offering personalized home organization solutions that empower and support women. The company has a diverse product line that includes wallets, bags, home organization solutions, home décor, and jewelry. With over 1,000 corporate employees and 69,500 independent sales consultants across the United States, Thirty-One Gifts provides women with the opportunity to own their own businesses. The company is committed to supporting its sales consultants by providing the tools and resources needed to succeed.
挑战
The sales force at Thirty-One Gifts is composed of independent consultants, some of whom are leaders that require business metrics to manage their teams. Many consultants were spending hundreds of dollars per month on third-party services to crunch numbers, which was both time-consuming and costly. The company needed an easy-to-use, self-service tool to help save time and money while providing the necessary business metrics to support remote teams effectively.
解决方案
Thirty-One Gifts launched a sales field analytics application using the MicroStrategy Cloud Platform on AWS. This enterprise-wide tool provided consultants and executives with visibility into the challenges and successes faced by consultants, enabling them to take proactive measures. The application helps recognize and encourage good performers and optimize team productivity. The company migrated its data warehouse to the cloud, leveraging MicroStrategy's scalable and federated data architecture. By using a Virtual Private Cloud (VPC), they were able to streamline infrastructure setup and network security, saving time and reducing risk. The MicroStrategy Cloud Platform's console, customized for AWS, facilitated agile deployment and allowed the company to run regression tests on two separate environments without rebuilding freeform SQL.
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.
