AI-Powered Cloud-Based ERP Solutions Transforming Product Lifecycle Management in the Manufacturing Sector

The manufacturing sector is experiencing a transformative shift through the adoption of AI-powered cloud-based Enterprise Resource Planning (ERP) solutions, which are redefining Product Lifecycle Management (PLM). These advanced systems integrate artificial intelligence and cloud technologies to streamline processes, improve decision-making, and enhance collaboration across all stages of the product lifecycle, from design to decommissioning. Traditional challenges in PLM, such as fragmented data, inefficient workflows, and limited predictive capabilities, are effectively addressed by leveraging AI-driven analytics and real-time data synchronization. This paper explores the functionalities of AI-powered cloud-based ERP solutions, focusing on their ability to optimize manufacturing operations. Features such as intelligent resource allocation, predictive maintenance, and seamless IoT integration are highlighted for their role in reducing operational inefficiencies, improving product quality, and accelerating time-to-market. Real-world case studies demonstrate significant productivity gains, cost savings, and enhanced customer satisfaction achieved through the implementation of these solutions. Additionally, the paper discusses the scalability and flexibility of cloud infrastructure, enabling global manufacturing enterprises to adapt to dynamic market demands. While acknowledging potential challenges such as cybersecurity and data privacy, the study emphasizes the strategic advantages of these technologies in fostering a digital-first manufacturing ecosystem. By identifying emerging trends like digital twins and advanced machine learning models, this research underscores the potential of AI-powered cloud-based ERP systems to revolutionize PLM. This study provides actionable insights for industry professionals, researchers, and policymakers, contributing to the evolution of smarter, more agile manufacturing practices.

Authors

Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/ginotech63460.2025.11076971
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.24
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Powered Cloud-Based ERP Solutions Transforming Product Lifecycle Management in the Manufacturing Sector

Suneel Kumar Mogali
1 citations
Digital Transformation in Industry
1.24
article

AI-Powered Cloud-Based ERP Solutions Transforming Product Lifecycle Management in the Manufacturing Sector

Suneel Kumar Mogali
article en
1 citations

Abstract

The manufacturing sector is experiencing a transformative shift through the adoption of AI-powered cloud-based Enterprise Resource Planning (ERP) solutions, which are redefining Product Lifecycle Management (PLM). These advanced systems integrate artificial intelligence and cloud technologies to streamline processes, improve decision-making, and enhance collaboration across all stages of the product lifecycle, from design to decommissioning. Traditional challenges in PLM, such as fragmented data, inefficient workflows, and limited predictive capabilities, are effectively addressed by leveraging AI-driven analytics and real-time data synchronization. This paper explores the functionalities of AI-powered cloud-based ERP solutions, focusing on their ability to optimize manufacturing operations. Features such as intelligent resource allocation, predictive maintenance, and seamless IoT integration are highlighted for their role in reducing operational inefficiencies, improving product quality, and accelerating time-to-market. Real-world case studies demonstrate significant productivity gains, cost savings, and enhanced customer satisfaction achieved through the implementation of these solutions. Additionally, the paper discusses the scalability and flexibility of cloud infrastructure, enabling global manufacturing enterprises to adapt to dynamic market demands. While acknowledging potential challenges such as cybersecurity and data privacy, the study emphasizes the strategic advantages of these technologies in fostering a digital-first manufacturing ecosystem. By identifying emerging trends like digital twins and advanced machine learning models, this research underscores the potential of AI-powered cloud-based ERP systems to revolutionize PLM. This study provides actionable insights for industry professionals, researchers, and policymakers, contributing to the evolution of smarter, more agile manufacturing practices.

Openalex Percentile: Top 17%
Digital Transformation in Industry
1.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

AI-Powered Cloud-Based ERP Solutions Transforming Product Lifecycle Management in the Manufacturing Sector — Suneel Kumar Mogali · (2025) | TGRS Research Map | TGRS