• Dhruv Seth
• Deep Manishkumar Dave

The integration of Artificial Intelligence of Things (AIoT) into supply chain management presents transformative potential for manufacturing industries, offering unprecedented improvements in efficiency and responsiveness. This paper aims to critically analyze the role of AIoT in optimizing logistics, inventory management, and distribution processes within the manufacturing sector. Utilizing a mixed-methods research approach, the study combines quantitative data analysis with qualitative case studies and expert interviews to provide a comprehensive evaluation of AIoT applications. The research explores how AIoT technologies can automate complex supply chain tasks, enhance data-driven decision-making, and improve the overall agility of supply chains. Key findings suggest that AIoT significantly reduces operational costs, shortens lead times, and improves service levels across various stages of the supply chain. The paper concludes with strategic recommendations for practitioners looking to implement AIoT solutions, emphasizing the critical nature of integration and alignment with broader organizational goals. Through this analysis, the study demonstrates how AIoT stands as a cornerstone technology for future advancements in supply chain management.

AIoT, Supply Chain Management, Efficiency, Integration, Manufacturing Sector.

"Supply Chain Optimization through AIoT: Enhancing Logistics, Inventory Management, and Distribution in Manufacturing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.d98-d106, May-2024, Available :http://www.jetir.org/papers/JETIR2405309.pdf

"Supply Chain Optimization through AIoT: Enhancing Logistics, Inventory Management, and Distribution in Manufacturing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppd98-d106, May-2024, Available at : http://www.jetir.org/papers/JETIR2405309.pdf