Blockchain Technology and Artificial Intelligence based Integrated Framework for Sustainable Supply Chain Management System
Arshad Ahmad Dar, Faheem Ahmad Reegu, Sarfaraz Ahmed, Gousiya Hussain
Abstract
The supply chain has become increasingly complex, making it challenging to verify sustainable practices. Blockchain has been viewed as a viable option to improve numerous aspects of sustainable supply chain management (SSCM) in response to increased customer demand for product traceability and proof of origin. This technology was initially developed as a secure distributed ledger for the bitcoin market, but it has since been adopted by several businesses, including the food, healthcare, and logistics sectors. This research seeks to propose a framework for more open, transparent supply chain operations using blockchain and artificial intelligence (AI) technologies. Two research topics will be addressed in relation to the main advantages and challenges in the market for consumer goods: This proposal will employ a qualitative methodology to investigate how blockchain and AI might result in more transparent supply chains from a social and environmental perspective. By considering the integration of blockchain and AI from many perspectives, triangulation will be achieved in order to promote transparency and traceability. We will suggest a single framework that assembles the necessary data pieces that must be maintained digitally in order to enhance sustainability in supply chains management systems utilizing Artificial Intelligence and Blockchain Technology (BCT).