Oracle AI Agents Help Transform Supply Chain Workflows

Core Insights - Oracle has introduced new role-based AI agents within Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) to enhance productivity and growth in supply chain operations [1][2] - These AI agents automate routine tasks, allowing supply chain professionals to focus on strategic initiatives [1][2] AI Agent Capabilities - The AI agents streamline workflows across various supply chain functions, including procurement, manufacturing, maintenance, inventory management, sustainability, planning, and product lifecycle management [2][8] - Specific AI agents include: - Procurement policy advisor: Increases speed and accuracy in processing purchase requisitions [7] - Manufacturer onboarding advisor: Streamlines onboarding processes for manufacturers and suppliers [7] - Operational procedure advisor: Ensures operations align with procedural guidelines and safety standards [7] - Quality inspection advisor: Assists in confirming product compliance with inspection requirements [7] - Material handling advisor: Provides guidance on proper handling of products upon delivery [7] - Claims policy advisor: Aids in making informed claim disposition decisions [7] - Shipping placard handling advisor: Assesses compliance with hazardous materials regulations [7] - Goods delivery advisor: Streamlines the delivery process for warehouse operators [7] - Supply chain collaboration advisor: Improves supplier access to company-specific policies [10] - Sustainability policy advisor: Enhances reporting accuracy on corporate sustainability initiatives [10] Strategic Importance - The integration of AI within Oracle Cloud SCM enables organizations to respond quickly to changing market conditions and enhances decision-making through data analysis and process automation [8] - The overall goal is to create a resilient supply network that can adapt to changes in demand and supply [8]