Agentic AI, a new technology in supply chain management (SCM), enables AI agents to handle varied tasks autonomously. These agents streamline processes like tracking orders, managing inventory location, and syncing schedules, which were previously difficult for humans to manage due to complexity. Businesses can greatly benefit from implementing these agents as they enhance operational efficiency, help scale operations, and reduce risks associated with manual processes. The key differences between agentic AI and traditional SCM tools are that the former can identify solutions to unforeseen challenges and automate interdependent processes effectively.
To successfully implement agentic AI, companies should start with a proof of concept, establish guardrails for agent actions, monitor data quality, and keep humans involved in complex scenarios. Given the power and potential costs of deploying AI agents, companies need to ensure they utilize best practices in development. The future of supply chain management leans favorably towards agentic AI as it promises to alleviate management burdens and boost operational reliability and performance.
👉 Pročitaj original: CIO Magazine
