GenAI-Powered PLM: Navigating Complexity and Driving Agility

The accelerating pace of innovation is
fundamentally reshaping product development,
creating a complex environment that demands rapid
decision-making and efficient information
management. To remain competitive, organizations
must integrate Generative AI (GenAI) tools into
their Product Lifecycle Management (PLM)
processes. This integration is crucial because
traditional PLM systems, often built on decades-old
architectures, struggle to manage modern product
complexity, vast data volumes, and interconnected
supply chains.1 Limitations such as data silos,
inflexible change management, and inadequate
collaboration capabilities hinder the agility required
today.3 GenAI offers transformative potential by
automating complex tasks, enhancing data analysis,
and facilitating more dynamic design and
collaboration within the PLM ecosystem.5 This
integration is not merely an upgrade but an
essential evolution to overcome the inherent
architectural and process constraints of legacy
systems, which impede the speed and data fluidity
necessary in the current market.