Case Study: Industrial machinery and equipment manufacturing
Legacy to Leading-Edge in Manufacturing
Cloud, IoT, and analytics reduced downtime and boosted agility by over 40%.
About the Client
A mid-sized manufacturing company with over 500 employees, specializing in producing industrial machinery and equipment. With manufacturing plants spread across North America, Europe, and Asia, the company has a global presence and is a key industry player.
The Challenges
- Outdated Infrastructure: Reliance on legacy servers led to frequent downtime and escalating maintenance costs.
- Data Silos: Isolated data across various plants caused inefficiencies and inconsistent reporting.
- Manual Processes: Manual tracking and unpredictable equipment failures hindered operational efficiency.
- Need for Agility: Rising competition necessitated enhanced collaboration and accelerated go-to-market strategies.
The Solutions
- Cloud Migration: Transitioned legacy systems to Microsoft Azure, utilizing Azure Virtual Machines, Kubernetes, and Blob Storage for scalability and centralization.
- Hybrid Infrastructure: Implemented a hybrid cloud model connecting on-premises systems with the cloud and enhanced global network performance using SD-WAN.
- IoT Integration: Deployed IoT sensors on machinery to collect real-time data, enabling predictive maintenance via Azure IoT Hub and reducing downtime.
- Advanced Analytics: Integrated Power BI for centralized reporting and analytics, facilitating informed decision-making.
- Collaboration Tools: Adopted Microsoft 365 and Teams to improve communication and collaboration among global teams.
The Benefits
- Predictive Maintenance: Reduced downtime by 40% through AI-driven predictive maintenance, enabling proactive interventions and minimizing unexpected equipment failures.
- Workflow Automation: Streamlined scheduling processes, achieving a 25% reduction in scheduling time and enhancing overall operational efficiency.
- Cloud Migration: Migrated to scalable cloud infrastructure, resulting in a 30% decrease in IT costs and improved resource management.
- IoT Integration: Implemented IoT solutions to monitor energy consumption, leading to optimized usage and reduced operational expenses.
- Data-Driven Decision Making: Leveraged real-time data analytics to enhance forecasting accuracy by 35%, facilitating informed strategic planning.
- Enhanced Collaboration: Adopted cloud-based collaboration tools, accelerating product development timelines by 20% and fostering global teamwork.
What the client said
“Korcomptenz attacked our biggest pain points—downtime and rising IT spend—and flipped them into competitive gains. Their cloud-and-IoT overhaul slashed unplanned outages by 40%, cut IT costs 30%, and accelerated product launches 20%. The impact shows up directly in margin and market share.”
— Chief Operating Officer, Global Industrial Machinery Manufacturer