This course on AI in Supply Chain Management, organized by Oxford Training Centre, covers the basics-what is happening around artificial intelligence in supply chains. This program is run as an intensive week of learning wherein the delegates develop the knowledge and competencies required to implement AI-driven initiatives aimed at process optimization, better decision-making, and operational effectiveness.
The curriculum touches on key areas like AI supply chain optimization, predictive analytics, automation, and machine learning applications in logistics and inventory management. Through structured modules, participants will gain hands-on experience in applying AI-powered tools and techniques that can be applied within supply chain networks to improve performance and smoothen operations.
Objectives and target group
Objectives
- To understand the role of Artificial Intelligence in Supply Chain Management for the optimization of processes and cost reduction.
- Learn how Machine Learning is integrated into Supply Chain Management for predictive analytics and demand forecasting.
- Learn how AI-powered solutions are implemented to enhance inventory management and logistics operations.
- Identify the potential of Supply Chain Automation using AI in smoothing the workflow and improving accuracy.
- Develop the skills to use AI-driven strategies for better decision-making and performance monitoring.
- Go in-depth into the real-world applications of AI for supply chain optimization through case studies and interactive exercises.
Target Group
The course is designed for those professionals who want to use AI in logistics and supply chain management to maintain a competitive edge in the global market. It targets:
- Supply chain managers and analysts who want to apply AI supply chain optimization techniques in their work.
- Logistics professionals who want to apply AI-powered demand forecasting and enhance transportation efficiency.
- Operations managers who want to use predictive analytics in supply chain for better decision-making.
Content
Module 1: Introduction to AI in Supply Chain Management
- Overview of Artificial Intelligence in Supply Chain applications.
- The impact of AI supply chain optimization on global industries.
- Key technologies: Machine learning, robotics, and data analytics.
Module 2: Predictive Analytics and AI-Powered Forecasting
- Using predictive analytics in the supply chain for demand planning
- Tools and techniques for AI-powered demand forecasting
- Case studies on successfully implemented AI in logistics
Module 3: AI-Driven Supply Chain Strategies
- Designing and deploying AI-driven strategies to bring in operational efficiency
- Leveraging AI to make better decisions in logistics and supply chain
- Risk management and scenario planning using AI tools
Module 4: Supply Chain Automation with AI
- Supply Chain Automation with AI in Warehousing and Transportation
- Robotics and Artificial Intelligence for inventory tracking and order fulfillment.
- Benefits of Supply Chain Process Automation: Challenges of Supply Chain Process Automation.
Module 5: Practical Applications and Future Trends
- Application scenarios of AI technologies in supply chain management.
- What’s new with AI supply chain solutions and technologies.
- Interactive exercises to actively develop an action plan with respect to AI.