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GenAI-Powered PLM: Navigating Complexity and Driving Agility
Subject area: Science,Engineering and Technology · Area of research: Generative AI
Abstract
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.
How to cite this paper
@article{1710502,
author = {Nanda Balasubramanian, Venkat Sharma Gaddala},
title = {GenAI-Powered PLM: Navigating Complexity and Driving Agility},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {3},
pages = {262-274},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1710502.pdf},
abstract = {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.},
month = {September},
}