Work

Impact of Deep tech on Supply Chain Management

Year: 2025

Type: article

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.

Source: International Journal For Multidisciplinary Research

DOI: 10.36948/ijfmr.2025.v07i02.41876

Authors: Adnan Ustad, Bhupesh Paunikar, Aanchal Dudhani, Abhijeet Shivane

Institution: Institute of Management Development and Research

Language: English

Topic: Impact of AI and Big Data on Business and Society

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Responsible consumption and production

Open Access status: hybrid

OpenAlex ID: W4409617156