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Digital Transformation of Supply Chain in a Multinational Sensor Manufacturing Company
Technology Category
- Application Infrastructure & Middleware - Data Visualization
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Transportation
Applicable Functions
- Logistics & Transportation
- Warehouse & Inventory Management
Use Cases
- Digital Twin
- Supply Chain Visibility
The Challenge
The multinational company, specializing in sensor manufacturing for fabrication and process automation, was facing significant challenges in its supply chain management. The company lacked end-to-end (E2E) visibility across its supply chain due to a multitude of disconnected planning systems operating in silos. This lack of visibility led to suboptimal decision-making, often based on opinions rather than data-driven facts. Additionally, the planning teams were spending a significant amount of time on manual number crunching activities such as data validation, collection, and manipulation. The company was also unable to conduct real-time scenario planning and evaluate the financial impact of different scenarios. The lack of ability to assess the supply chain supportability of various scenarios further compounded the problem.
About The Customer
The customer is a multinational company that manufactures products for fabrication and process automation, specializing in sensor manufacturing. These sensors are used in various applications, including automatic doors in elevators. The company operates on a global scale, with a complex supply chain that spans multiple countries and involves numerous suppliers and distributors. The company's operations are characterized by a wide variety of disconnected planning systems operating in a siloed environment, leading to challenges in achieving end-to-end visibility across the supply chain.
The Solution
The company leveraged o9's Enterprise Knowledge Graph to create a true digital twin of the supply chain, integrating various demand and supply planning functions across the organization. This provided the much-needed E2E visibility and enabled all planning processes to be performed on a single integrated platform. The o9 platform also automated the most time-consuming and manual tasks, including automated post-game analysis, exception-based alerts from both structured and unstructured data inputs, and ad hoc reports leveraging o9’s NLP capabilities. Furthermore, the company was able to conduct scenario planning across time horizons and evaluate the full P&L impact in real time. The platform replaced Excel and Infor systems, providing a more flexible and efficient solution.
Operational Impact
Quantitative Benefit
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