The AI-Driven Supply Chain Manager

Explore the transformative power of AI in supply chain management in this comprehensive course with instructor Daniel Stanton. Discover how to use AI ethically and securely while analyzing large datasets to improve decision-making. Learn how to optimize demand forecasting accuracy and automate supplier communications for efficient vendor management. Daniel shows you how AI can enhance inventory management, streamline logistics, and reduce supply chain costs, before delving into how AI-powered risk management and disruption prediction can help to safeguard your operations. Along the way, uncover strategies to leverage AI for sustainability and create greener supply chain practices. This course is ideal for supply chain professionals, business leaders, and anyone interested in how using AI applications in logistics and procurement can lead to improved efficiency, reduced costs, and a more resilient, sustainable supply chain.

Learning objectives
Analyze the ethical considerations and security measures necessary when using AI in supply chain management, including data disclosure, data disguise, and double-checking work.
Identify key trends and actionable insights from large supply chain datasets using AI tools to improve decision-making and reduce inefficiencies.
Describe how AI can be used to analyze historical data and market trends to improve demand forecasting accuracy and optimize inventory planning.
Draft an AI-powered supplier communication, including negotiation points and contract summaries, to demonstrate efficient vendor management.
Evaluate supply chain risks and global events using AI, and outline proactive strategies to prevent disruptions and minimize financial and operational impact.