Course Details

Transforming Supply Chains: AI & Machine Learning in Supply Chain Training Course

INTRODUCTION

"Unlock the power of artificial intelligence and machine learning to revolutionize your supply chain operations. Our AI & Machine Learning in Supply Chain Training Course equips professionals with the skills to leverage these cutting-edge technologies for enhanced efficiency, resilience, and decision-making. Learn to automate processes, predict demand, optimize logistics, and mitigate risks using AI and machine learning. Master the techniques of modern supply chain management and drive innovation in your organization."

DURATION

10 days

TARGET AUDIENCE

This course is meticulously designed for:

• Supply Chain Managers and Analysts: Seeking to optimize operations and improve decision-making.
• Logistics and Operations Professionals: Implementing technology-driven solutions for efficiency.
• Data Scientists and Analysts: Applying AI and machine learning to supply chain challenges.
• Procurement and Sourcing Specialists: Utilizing AI for supplier selection and risk management.
• IT Professionals: Implementing and managing AI-driven supply chain systems.
• Anyone seeking to enhance their skills in AI and machine learning applications in supply chain.

COURSE OBJECTIVES

Upon completion of this course, participants will be able to:

• Understand the fundamentals of AI and machine learning and their applications in supply chain.
• Apply machine learning algorithms for demand forecasting and inventory optimization.
• Utilize AI for logistics optimization and route planning.
• Implement AI-driven predictive maintenance and quality control.
• Leverage AI for supplier risk assessment and management.
• Automate supply chain processes using robotic process automation (RPA) and AI.
• Analyze and interpret AI-generated insights for decision-making.
• Understand the ethical considerations and challenges of AI in supply chain.
• Understand data preparation needs for AI applications.
• Understand how to properly measure the success of an AI implementation.

COURSE MODULES

Module 1: Introduction to AI and Machine Learning in Supply Chain:

• Overview of AI and machine learning concepts.
• Applications of AI in supply chain management.
• Benefits and challenges of AI adoption.
• Understanding the different types of machine learning.

Module 2: Data Preparation and Management for AI:

• Data collection, cleaning, and preprocessing.
• Data warehousing and data lakes for AI applications.
• Data security and privacy considerations.
• Understanding the importance of quality data.

Module 3: Demand Forecasting and Inventory Optimization:

• Utilizing machine learning algorithms for demand prediction.
• Implementing AI-driven inventory management systems.
• Optimizing safety stock and reorder points.
• Understanding time series data.

Module 4: Logistics Optimization and Route Planning:

• Applying AI for route optimization and transportation planning.
• Utilizing machine learning for real-time traffic and delivery management.
• Implementing AI-driven warehouse management systems.
• Understanding the benefits of dynamic routing.

Module 5: Predictive Maintenance and Quality Control:

• Implementing AI-driven predictive maintenance for equipment and assets.
• Utilizing machine learning for quality control and defect detection.
• Applying AI for anomaly detection and process optimization.
• Understanding sensor data.

Module 6: Supplier Risk Assessment and Management:

• Leveraging AI for supplier risk assessment and monitoring.
• Utilizing machine learning for supplier performance evaluation.
• Implementing AI-driven supplier relationship management (SRM).
• Understanding how to use AI to find alternative suppliers.

Module 7: Automation and Robotic Process Automation (RPA) in Supply Chain:

• Automating repetitive tasks using RPA and AI.
• Implementing AI-driven chatbots and virtual assistants.
• Utilizing AI for document processing and data extraction.
• Understanding the proper use of RPA.

Module 8: AI-Driven Decision Support Systems:

• Developing AI-driven decision support systems for supply chain managers.
• Utilizing data visualization tools for AI insights.
• Implementing AI for scenario planning and simulation.
• Understanding how to properly present data.

Module 9: Ethical Considerations and Challenges:

• Addressing ethical concerns related to AI in supply chain.
• Managing bias and fairness in AI algorithms.
• Ensuring data privacy and compliance.
• Understanding the importance of transparency.

Module 10: Case Studies and Implementation Strategies:

• Analyzing real-world examples of AI applications in supply chain.
• Developing implementation strategies for AI projects.
• Measuring the ROI of AI initiatives.
• Understanding future trends in AI within supply chain.

CERTIFICATION

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

• Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

• Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com