Product
Lifecycle
Management

Be in sync with your product and sales team and involve your consumer for future-proof PLM.

What We Do

We help our clients to improve their overall product lifecycle management leveraging different angles such as 3D virtualization, measures for optimized collaboration, or increased automation for more efficiency.

We have the people, skills, experience, knowledge, methodologies, approaches, templates, accelerators, and tools that enable us to deliver short- as well as long-term success for the PLM of our clients.

We apply best practices and work with leading tool providers.

Challenges We Address

Supply chain problems | Disruptions and inconsistencies in the supply chain e.g. due to COVID-19.
Transparency | Legal requirements and customer demands are forcing companies to introduce transparency into their supply chain.
Collaboration | Working from home impacted the product development process because of the lack of physical touch points
Inaccurate forecasting | Inaccurate forecasting can lead to surpluses and leftovers.
Sustainability | Growing need to improve traceability and reduce their environmental impact.

Our Services

Analyzing and optimizing processes, people and change management processes for PLM.

Transformation Services

Setting up the right enterprise architecture and master data management for successful PLM.

Technical Services

Supporting you through testing capabilities and ensure upskilling of your team.

Support Services

What We Deliver

Optimizied Collaboration
PLM systems can help improve collaboration between teams and departments, including designers, product developers, suppliers, and manufacturers. By providing a central repository for data and information, PLM systems can help ensure that everyone involved is working from the same information. This can improve communication and collaboration, reducing errors and increasing efficiency.
Advanced Reporting
PLM systems can help companies produce more comprehensive and accurate sustainability reports. By capturing sustainability and social responsibility data, PLM systems can provide companies with the data they need to produce more detailed reports. This can help companies meet regulatory requirements, demonstrate their commitment to responsible practices and build trust with stakeholders.
Data-based Decision Making
PLM systems can provide real-time data on sustainability and social responsibility, helping companies make more informed decisions about their operations. This applies to all operations from procurement to production to distribution. For example, if a company finds that a particular product has a high carbon footprint or is associated with poor labor practices, it can use this information to make changes to its sourcing or production processes to reduce these impacts.

Improved Product Quality
3D models help designers and engineers visualize the product in much more detail and accuracy than 2D drawings or descriptions. This means that potential design problems can be identified and resolved much earlier in the development process, before physical prototypes are produced. Later, by using more accurate models, manufacturers can ensure that their production processes are optimized for the specific product design, reducing the risk of errors or defects and resulting in higher quality and more reliable products.
Enhanced Visibility Of the Supply Chain
PLM systems can provide a centralized view of the supply chain, from raw material production to final product delivery, which can help companies identify potential problems and areas for improvement. For example, by capturing data on raw material sourcing and production, PLM systems can help companies identify suppliers that may not be meeting sustainability standards or using unsustainable practices. This information can then be used to make more informed decisions about which suppliers to work with.
Increased Efficiency
PLM systems can help streamline processes, reducing the time and effort required to manage complex supply chains. By automating data capture and analysis, PLM systems can help reduce errors and improve accuracy, which can lead to greater efficiency and lower costs. For example, by automating the management of materials sourcing and purchasing, companies can reduce the time and effort required to manage these processes, which can lead to cost reductions and efficiencies.