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The Role of AI in Optimizing Processes and Reducing Costs Across Sectors
Subject area: Science,Engineering and Technology · Area of research: Engineering
Abstract
Artificial Intelligence (AI) is proving to be a transformative tool in optimizing processes and reducing costs across a wide array of industries, including construction, manufacturing, logistics, and computing. By utilizing AI to simulate alternative scheduling scenarios, project managers can explore a variety of possibilities, adjusting resource allocations, mitigating risks, and optimizing execution timelines with greater precision. AI?s ability to process vast amounts of data and predict the outcomes of various decisions provides project managers with a more informed perspective on the impact of schedule adjustments. Studies by Filippini et al. (2023) and Thatcher et al. (2022) highlight AI's effectiveness in optimizing machine learning clusters, managing industrial resources, and enhancing logistics operations, ultimately leading to improved efficiency and cost reductions. Additionally, the integration of AI into planning and resource allocation systems offers a high degree of flexibility, allowing real-time adjustments to address unforeseen challenges such as delays or supply chain disruptions. This proactive management prevents issues from escalating and helps keep the project within budget while providing a clearer understanding of decision-making consequences. The synergy of machine learning, optimization, and predictive analytics shows that AI is not only improving operational efficiency but also facilitating informed decisions, cost savings, and sustainable solutions. As AI continues to advance, its potential to optimize processes and provide strategic management across diverse sectors is increasingly promising, offering new opportunities to enhance both performance and sustainability.
Keywords
Artificial Intelligence; Process Optimization; Cost Reduction; Resource Allocation; Sustainability.
How to cite this paper
@article{1707022,
author = {Carolina Araujo Moreira },
title = {The Role of AI in Optimizing Processes and Reducing Costs Across Sectors},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {7},
pages = {710-713},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1707022.pdf},
abstract = {Artificial Intelligence (AI) is proving to be a transformative tool in optimizing processes and reducing costs across a wide array of industries, including construction, manufacturing, logistics, and computing. By utilizing AI to simulate alternative scheduling scenarios, project managers can explore a variety of possibilities, adjusting resource allocations, mitigating risks, and optimizing execution timelines with greater precision. AI?s ability to process vast amounts of data and predict the outcomes of various decisions provides project managers with a more informed perspective on the impact of schedule adjustments. Studies by Filippini et al. (2023) and Thatcher et al. (2022) highlight AI's effectiveness in optimizing machine learning clusters, managing industrial resources, and enhancing logistics operations, ultimately leading to improved efficiency and cost reductions. Additionally, the integration of AI into planning and resource allocation systems offers a high degree of flexibility, allowing real-time adjustments to address unforeseen challenges such as delays or supply chain disruptions. This proactive management prevents issues from escalating and helps keep the project within budget while providing a clearer understanding of decision-making consequences. The synergy of machine learning, optimization, and predictive analytics shows that AI is not only improving operational efficiency but also facilitating informed decisions, cost savings, and sustainable solutions. As AI continues to advance, its potential to optimize processes and provide strategic management across diverse sectors is increasingly promising, offering new opportunities to enhance both performance and sustainability.},
keywords = {Artificial Intelligence; Process Optimization; Cost Reduction; Resource Allocation; Sustainability.},
month = {January},
}