Impact of Deep tech on Supply Chain Management

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.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-04-17
DOI
https://doi.org/10.36948/ijfmr.2025.v07i02.41876
Primary Topic
Economic and Technological Innovation
Type
article
Field-Weighted Citation Impact
0.00
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article

Impact of Deep tech on Supply Chain Management

Abhijeet Shivane, Adnan Ustad, Bhupesh Paunikar, Aanchal Dudhani
International Journal For Multidisciplinary Research
Economic and Technological Innovation
article

Impact of Deep tech on Supply Chain Management

Abhijeet Shivane, Adnan Ustad, Bhupesh Paunikar, Aanchal Dudhani
article en

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.

International Journal For Multidisciplinary ResearchVol. 7(2)
Openalex Percentile: Top 88%
Economic and Technological Innovation
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