Harnessing Agentic AI in Supply Chain Management
Agentic AI represents a transformative advancement in supply chain management, resembling a promising intern eager to learn but needing training. Unlike traditional AI, agentic AI utilizes AI agents—machine learning models that replicate human decision-making—to enhance decision-making processes. While still in development, this technology streamlines operations across warehousing, fulfillment, and transportation.
Experts, like Sanjev Siotia from Manhattan Associates, emphasize the need for human professionals to guide AI through training, fostering a collaborative “human-in-the-loop” approach. This partnership not only maximizes efficiency but also enhances decision accuracy in managing inventory, task assignments, and communication.
Retail sectors, as revealed by Walmart’s findings, also see growing acceptance of AI assistants, yet consumers prefer maintaining control over purchases. Ultimately, agentic AI’s successful integration hinges on its proper training and human oversight, allowing supply chain professionals to focus on strategic, creative roles while AI handles operational tasks. Emphasizing this balance is vital for future success.
