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Artificial Intelligence in Supply Chain: A Comprehensive Analysis of Applications, Impacts, and Future Directions
Deepika Nathany
(Application Manager)
Email: deepikanathany@gmail.com
Abstract
Supply chain management (SCM) has experienced significant changes due to the transformative impact of Artificial Intelligence (AI) on multiple business operations. The research article conducts a thorough examination of how AI applications influence supply chain management today and what future developments to expect. According to the research AI technologies transform supply chain processes while improving operational efficiency and promoting sustainable practices.
The research methodology includes a systematic literature review that examines peer-reviewed articles along with industry reports and case studies published between 2015 and 2021. Research demonstrates that artificial intelligence substantially enhances multiple supply chain management functions such as forecasting capabilities and inventory management systems alongside logistics operations and risk management strategies. AI systems promote operational effectiveness through better demand forecasting accuracy, logistics optimization and enhanced risk management capabilities.
The research finds that technological benefits along with supply chain teamwork and unpredictable environmental conditions drive AI adoption throughout supply chains. The factors identified lead organizations toward adopting AI technologies which then improves both supply chain resilience and operational performance. The study demonstrates how artificial intelligence enables sustainable practices by optimizing resource usage, reducing waste output and advancing circular supply chain models.
Organizations utilizing AI technology in their supply chain management systems have seen major enhancements in their crucial performance metrics. The organizations reported decreased logistics costs along with faster inventory movement and improved service performance. This research examines the difficulties organizations face during AI implementation including problems with data quality, skill shortages and organizational change requirements.
The research advances understanding in AI supply chain management through a complete review of existing applications while measuring their effects and suggesting directions for subsequent studies. Supply chain practitioners will find considerable value in these findings which reveal how strategic AI technology implementation can deliver both competitive advantage and sustainable growth.
The research finishes by underscoring AI's transformational impact on supply chain management and calls for ongoing investigations to tackle new challenges and opportunities. Proposed future research paths include examining how AI can strengthen supply chain resilience along with merging AI with new technologies and creating ethical AI implementation guidelines for supply chains.
Keywords: Artificial Intelligence, Supply Chain Management, Machine Learning, Predictive Analytics, Supply Chain Optimization, Sustainability, Digital Transformation
