The Intelligent PLM Ecosystem: How AI is Transforming Core Tools

Artificial Intelligence is transforming Product Lifecycle Management (PLM) systems across industries, revolutionizing how organizations design, develop, and maintain products throughout their lifecycle. The integration of AI technologies has enhanced core PLM tools, from requirements management to manufacturing integration, enabling more intelligent decision-making and automated processes. Through advanced capabilities such as digital twins, predictive analytics, and machine learning algorithms, organizations are achieving significant improvements in operational efficiency, quality control, and customer satisfaction. The evolution of PLM systems now encompasses automated quality assurance, enhanced data management, and sophisticated compliance monitoring, leading to more resilient and adaptive product development cycles. These advancements are reshaping traditional PLM frameworks while creating new opportunities for innovation and competitive advantage in the manufacturing sector.

Authors

Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-04-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n201629
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
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article

The Intelligent PLM Ecosystem: How AI is Transforming Core Tools

Rukmini Kumar Sreeperambuduru
European Journal of Computer Science and Information Technology
Digital Transformation in Industry
article

The Intelligent PLM Ecosystem: How AI is Transforming Core Tools

Rukmini Kumar Sreeperambuduru
article en

Abstract

Artificial Intelligence is transforming Product Lifecycle Management (PLM) systems across industries, revolutionizing how organizations design, develop, and maintain products throughout their lifecycle. The integration of AI technologies has enhanced core PLM tools, from requirements management to manufacturing integration, enabling more intelligent decision-making and automated processes. Through advanced capabilities such as digital twins, predictive analytics, and machine learning algorithms, organizations are achieving significant improvements in operational efficiency, quality control, and customer satisfaction. The evolution of PLM systems now encompasses automated quality assurance, enhanced data management, and sophisticated compliance monitoring, leading to more resilient and adaptive product development cycles. These advancements are reshaping traditional PLM frameworks while creating new opportunities for innovation and competitive advantage in the manufacturing sector.

European Journal of Computer Science and Information TechnologyVol. 13(20)
Openalex Percentile: Top 85%
Digital Transformation in Industry
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The Intelligent PLM Ecosystem: How AI is Transforming Core Tools — Rukmini Kumar Sreeperambuduru · European Journal of Computer Science and Information Technology (2025) | TGRS Research Map | TGRS