Cognitive Supply Chains with SAP: AI and ML for Intelligent Process Automation
DOI:
https://doi.org/10.15662/IJARCST.2025.0802004Keywords:
SAP, Cognitive Supply Chains, AI, Machine Learning, Intelligent Process Automation, Joule, Supply Chain Management, Predictive Analytics, Autonomous Operations, Digital Transformation.Abstract
The evolution of supply chain management is undergoing a significant transformation with the integration of Artificial Intelligence (AI) and Machine Learning (ML) into SAP systems, leading to the emergence of cognitive supply chains. These intelligent systems enhance process automation, enabling real-time decision-making, predictive analytics, and adaptive responses to dynamic market conditions. SAP's AI copilot, Joule, exemplifies this advancement by providing contextual insights and recommendations across various supply chain functions, from demand forecasting to logistics optimization. This paper explores the role of AI and ML in fostering intelligent process automation within SAP-driven supply chains, examining their applications, benefits, challenges, and future directions.
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