The Transformative Role of AI in Modern Supply Chains: A Study on Collaboration and Efficiency

Purpose: This research delves into how Artificial Intelligence (AI)'s changing the industry in Supply Chain Management (SCM) particularly in its connection with Supply Chain Collaboration (SCC) and how their teamwork influences Supply Chain Performance (SCP). The study looks at how AI tools improve efficiency, in operations and customer satisfaction while cutting costs and promoting sustainability underscoring the importance of working to achieve these goals. By analyzing a wealth of data and creating representations the research showcases the exciting potential of AI in reshaping contemporary supply chains. Design/Methodology/Approach: The study uses a variety of research methods by blending examination with case studies and visual aids for analysis purposes. The information was gathered through organized surveys which were then improved with expert evaluations and examined using regression and mediation modeling techniques in order to grasp the relationship between AI technology sustainability (SCC) and sustainable consumption practices (SCP). Diagrammatic representations and comparison graphs were utilized as aids in presenting main discoveries; additionally real world examples from companies like Amazon and DHL were studied for insights into AI applications such, as predictive analytics tracking systems and risk minimization strategies. Findings: The research illustrates how AI improves supply chain management by automating tasks and making real time decisions based on predictions. Supply chain collaboration plays a role in enhancing the effectiveness of AI by building trust among stakeholders and enabling the exchange of information for solving problems together. The findings indicate that supply chain collaboration has an impact, on supply chain performance influenced by AI advancements. This highlights the importance of working in utilizing the full capabilities of AI technology. Furthermore AI has been proven to have an impact, on promoting sustainability through optimizing resource utilization, minimization of waste and advocating for circular supply chain frameworks. Practical Implications: The results underline the importance of companies embracing a strategy for incorporating AI technology by blending technical progress with teamwork methods. Corporations are urged to put resources into AI powered solutions like forecast analytics and enhancement algorithms while building trust and openness, with supply chain collaborators. Government officials should examine systems that encourage friendly practices, sturdiness and the establishment of AI driven environments to tackle the demands of present day supply chains. Originality/Value: This research thoroughly explores how AI impacts supply chain management by combining results from analyzing data and studying specific cases along with visualizing data trends. By showcasing how the Supply Chain Council plays a role and discussing the wider impacts of AI implementation in SCM practices this study offers valuable perspectives for scholars and professionals alike. It adds insights to the expanding understanding of AI in supply chain operations while providing useful advice on improving efficiency, environmental friendliness and adaptability, in supply chain operations. Artificial intelligence plays a role in enhancing supply chain management by fostering collaboration among stakeholders. It improves performance metrics and sustainability efforts through analytics while also boosting resilience, in operations.