Print Goes Digital and Predictive with the Internet of Things
公司规模
Large Corporate
国家
- Worldwide
产品
- Digital Business Platform
- webMethods
- Terracotta
- Apama
技术栈
- IoT sensors
- Streaming Analytics
- In-Memory Store and Compute
- Application Integration
- Process Automation
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Revenue Growth
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 平台即服务 (PaaS) - 连接平台
适用行业
- 电子产品
适用功能
- 离散制造
- 维护
用例
- 预测性维护
- 实时定位系统 (RTLS)
- 供应链可见性(SCV)
服务
- 系统集成
- 软件设计与工程服务
关于客户
The customer is a manufacturer recognized as a global leader in imaging technology solutions and managed print services. The company has thousands of employees who are responsible for billions in revenue from sales in almost every country in the world. The company has led the imaging solutions industry since its founding, but by the mid-2010s, it was facing increasing competition, mounting inefficiencies from manual processes, and the commoditization of previously lucrative contracts. The company's industry-leading innovation and expertise have earned it a world-class customer loyalty rate that most companies only dream of.
挑战
The company, a global leader in imaging technology solutions and managed print services, was facing increased competition and service level agreement (SLA) compliance issues. There was a push for IoT-enablement and new device location tracking requirements. The company was also dealing with inefficient field maintenance and rising costs, and lacked real-time visibility into partner supply chains. In the case of on-site printer fleet repair and maintenance, the old way simply couldn’t cut it. Reactive failure reporting, multiple technician visits and manual parts ordering dragged down profits and aggravated customers. With tens of thousands of printers moved per week, and third-party supply chains to contend with, manual repair and maintenance led to SLA violations, billing headaches and logistical nightmares.
解决方案
The company partnered with Software AG to develop the location-based Operational Intelligence Platform (OIP) that could track live device movements, provide visibility into service and component supply-chain processes, and scale for continuous and batch data from millions of devices and their reference data input. The flexibility of webMethods BPMS enabled real-time, automated interaction with service partners. And the combined streaming and predictive analytics of Apama monitored sensor data to determine equipment condition, analyze and act on high-volume IoT streams, and ultimately leverage advanced predictive modeling to anticipate failures. The team’s OIP for streaming analytics was put in place, creating actionable intelligence on more than 1 million device status updates and real-time sensor data alerts per day. Working together, Software AG and partner Wipro implemented the solution in less than three months.
运营影响
数量效益
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