Artificial Intelligence in Management Decision-Making in the Manufacturing Sector in India

Subject area: Business and Management DOI: https://doi.org/10.5281/zenodo.18758071

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Abstract

Artificial Intelligence (AI) is increasingly transforming the manufacturing sector in India by enhancing managerial decision-making processes. With the rise of Industry 4.0, Indian manufacturing firms are adopting AI technologies to analyze real-time data, predict outcomes, and optimize operations. This study adopts an exploratory research design based on secondary data to examine the role of AI in strategic, tactical, and operational decision-making. It highlights applications such as predictive maintenance, demand forecasting, quality control, and supply chain optimization. The findings indicate that AI improves decision accuracy, efficiency, and productivity while reducing operational costs. However, challenges such as high implementation costs, skill shortages, and data security concerns continue to hinder widespread adoption. This study specifically focuses on the Indian manufacturing context, which is still under-researched in existing literature. The study concludes that integrating AI with human expertise is essential for sustainable and effective decision-making in Indian manufacturing organizations.

Keywords

Artificial IntelligenceDecision-MakingManufacturing SectorIndiaIndustry 4.0

Cite this article

Dr. Amita Koli (2026). Artificial Intelligence in Management Decision-Making in the Manufacturing Sector in India. International Innovations & Scholarly Trends Journal, 2(2), 239–246. https://doi.org/10.5281/zenodo.18758071

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© 2026 — Authors retain the copyright of this article. This is an open access article distributed under the Creative Commons Attribution License (CC BY 4.0) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.