Transforming Service Lifecycle Management with AI
AI (Artificial Intelligence) is fast becoming an indispensable tool for enhancing efficiency and productivity. Read more to learn about the value of transforming service lifecycle management with AI.
Optimization of the service lifecycle management
In previous blogs, we’ve talked about the importance of optimized service lifecycle management and the value it brings. For instance, the right service lifecycle management (SLM) solution can drive timely and accurate communication of product and service knowledge to the right stakeholders throughout an enterprise resulting in better service and business outcomes. It can also help companies achieve a clear understanding of service requirements for precise planning and forecasting.
Siemens approach to effective service lifecycle management focuses on delivering a truly comprehensive digital twin that accurately and efficiently manages the product and its service-related data to key stakeholders in context with the product and the product’s physical asset configuration. These asset configurations (think of the asset in the field) are tracked and kept in sync with the latest product knowledge and service requirements. This streamlines change processes, enables accurate service planning and forecasting, ensures access to precise data for fielded assets, facilitates confident planning of upgrades, provides timely instructions for issue resolution, optimizes spare parts inventory leveraging accurate asset knowledge, and increases new revenue opportunities.
Teamcenter Service Lifecycle Management and AI
The integration of AI with Teamcenter service lifecycle management represents an even more significant leap forward in how manufacturers and their engineering and service teams—from planners to field technicians—operate. By eliminating time-consuming tasks and optimizing processes, AI is transforming the way we approach service lifecycle management.
Streamlining service planning in Teamcenter SLM
In the context of service planning, AI coupled with SLM delivers significant value. Service planners face the daunting task of understanding how a product should be serviced – including all service requirements before putting a service plan together. This includes considering the characteristics of the product to be serviced, like the specific service location, usage, the configuration of the product, and various other factors. AI can streamline this process by quickly analyzing and understanding:
- The service steps required
- The necessary skillsets
- The spare parts needed
- Visual aids and documentation
- Other relevant product information
By leveraging AI, service planners can create comprehensive and accurate service plans more efficiently.
In the Teamcenter SLM product demonstration below, we see a service planner in Teamcenter leveraging AI to accelerate service plan creation.
Leveraging GenAI will help service and engineering teams work smarter in service planning. Based on Teamcenter PLM, service lifecycle management can pull together data around the product, service requirements, service characteristics, etc. to create a quality service plan and other downstream components to improve service efficiency and service excellence.
Stay tuned for more information on how you can improve your business by leveraging the power of AI.
Learn more about Teamcenter Service Lifecycle Management
Check out the latest in Teamcenter SLM in this What’s New article
Hear how Siemens customers leverage Teamcenter SLM for success
Watch the video to learn more about the role of SLM in service excellence
