Impact of Deep tech on Supply Chain Management

Author(s)	Mr. Adnan Ustad, Mr. Bhupesh Paunikar, Ms. Aanchal Dudhani, Dr. Abhijeet Shivane
Country	India
Abstract	The integration of deep technology tools like Artificial Intelligence (AI), the Internet of Things (IoT), and predictive analytics is transforming how businesses approach supply chain management. Traditional methods are increasingly being replaced by AI-driven models that can process large volumes of real-time data, allowing companies to better predict market changes, streamline inventory, and enhance operational efficiency. This study examines the effects of these technologies across different industries, emphasizing their ability to minimize waste, improve supply chain responsiveness, and generate cost savings. By presenting case studies from sectors such as retail, automotive, food, and fashion, this research highlights the significant impact of deep technologies on the future of demand forecasting and supply chain management.
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-17
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.41876
Short DOI	https://doi.org/g9f4t7

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International Journal For Multidisciplinary Research