Certified Generative AI for Supply Chain Management (CGAISCM)
The Certified Generative AI for Supply Chain Management program is globally designed to enhance intelligent decision-making, operational efficiency, and innovation across modern supply chain ecosystems.
Learn directly from global AI practitioners, supply chain experts, and industry leaders who are transforming supply chain strategy with Generative AI driven solutions.
What Sets Our Program Apart?
- Globally Recognized Certification with 2 Exam Attempts
- 36+ Hours of Self-Paced Material
- 100+ Hours of Live Sessions
- 1-on-1 personalized Connect with SME/Trainer
- Practice Exams, Capstone Projects, Interview Practice Platform
100% Money Back Guarantee on One-Click
About Certified Generative AI for Supply Chain Management
Objectives Of Supply Chain Management Certification
- Learn how generative AI can help enhance planning, forecasting, and supply chain operations.
- Use AI tools to optimize inventory management, logistics, and coordination between suppliers.
- Understand the role of AI in enabling quicker, data-backed decisions in supply chains.
- Automate your routine supply chain tasks by implementing intelligent AI workflows.
- Develop strong foundations with your Book of Knowledge (BoK) related to AI frameworks and best practices.
- Utilize learning through the capstone project by emphasizing the needs of the existing supply chain.
- Acquire practical knowledge through well-structured, self-directed e-learning sessions.
Benefits Of Supply Chain Management Certification
- Build real-world expertise through 36+ hours of expert-led training and daily live sessions
- Boost your job skills with the GSDC job support program that includes interview preparation, resume building, and LinkedIn profile optimization.
- Enhance your ability to understand the market and use generative AI in the supply chain to create innovation
- Gain a certified badge that showcases your readiness to implement Generative AI in the supply chain management across the globe
- Stay ahead of the industry changes and position yourself as an innovation-driven expert
- Strengthen your professional value and get career growth with a 40-60% salary hike.
- Get access to the latest up-to-date study materials that keep you aligned with current supply chain management trends.
- Get free access to our best e-learning Library, GSDC AI Studio, Learn by Doing, expert-led sessions, tools and helpful resources.
Exam Syllabus Of Certified Supply Chain Management Certification
1 Introduction to Generative AI and Supply Chain Management:+
•Basics of GANs, VAEs, and Transformers
•SCM fundamentals: procurement, production, logistics
•Benefits of AI in SCM: efficiency, cost reduction
2 Generative AI Techniques and Models:+
•GANs and VAEs for Synthetic Data Generation
•Transformer Models for SCM Insights
•Combining Models for Complex Tasks (e.g., Hybrid models for demand forecasting and logistics optimization)
3 Generative AI for Demand Forecasting and Planning:+
•Multi-scenario demand forecasting
•Modeling Consumer Behavior Shifts with LLMs (Large Language Models)
•Real-time adjustments with IoT integration
•Use Case: Retail - Seasonal demand planning
•Use Case: F&B - Predicting perishable demand
4 Inventory Optimization and Management:+
•Dynamic inventory adjustments with AI
•Simulation models for stock optimization
•Multi-channel inventory strategies
•Use Case: E-commerce - Stock level optimization
5 Logistics and Route Optimization:+
•Real-time route changes based on AI predictions
•Fleet Management Improvements with Generative AI
•Sustainable logistics optimization
•Use Case: Delivery - Efficient Routing with AI-powered GPS Systems
6 Supplier Management and Performance Optimization:+
•Predicting Supplier Risks and Reliability with AI Models
•AI-Enhanced Negotiation Strategies
•Supplier Diversification via AI Insights
•Use Case: Manufacturing - Supplier Selection
7 Production Planning and Quality Control:+
•Optimizing Production Schedules Using AI Algorithms
•Predictive Maintenance with AI-based Systems
•Quality Control through Anomaly Detection (e.g., using Deep Learning)
•Use Case: Electronics - Reducing Waste with Generative AI Models
8 Risk Management and Scenario Planning with Generative AI:+
•AI for Risk Forecasting and Disruption Planning
•Financial Risk Simulation with Generative AI
•Geopolitical Risk Analysis
•Use Case: Pharma - Supply Chain Continuity
9 Customer Service and Experience Enhancement:+
•AI-driven customer insights and personalization
•Virtual Assistants and AI Chatbots for Customer Handling
•Predictive Feedback Analysis with LLMs
•Use Case: E-Commerce - Enhancing Service Quality with AI-powered Feedback Systems
10 Sustainability and Circular Economy in Supply Chains:+
•AI for Sustainable Practice Modeling
•Optimizing Recycling and Waste Reduction with AI
•Reducing Carbon Footprint through AI-optimized Routes
•Use Case: Consumer Goods - Sustainability Initiatives
11 Ethics, Privacy, and Compliance in AI-Driven Supply Chains:+
•Addressing AI biases and fairness
•Data Privacy and Regulatory Compliance (e.g., GDPR, AI Act)
•Ethical AI Frameworks for SCM
•Use Case: Global SCM - Ethical AI Deployment
12 Technology Stack and Integration for Generative AI:+
•Tools: TensorFlow, PyTorch, Hugging Face, etc.
•Integrating Generative AI with ERP and SCM Systems
•Cloud vs. On-Premises AI Deployment in Supply Chains
•Use Case: FMCG - End-to-End Visibility with AI
13 Capstone Projects and Hands-On Learning+
•Developing a Generative AI Model for SCM
•Case Study Analysis of AI Applications in SCM
•Designing an AI-driven Supply Chain Strategy
•Capstone Project: Full AI Optimization of Supply Chain Processes
14 Personalized 1-1 & Daily Group Live session+
•Personalized 1-on-1 Trainer/SME Connect Session - Receive a 1-on-1 connect session from Trainer/SME to resolve all types of queries.
•Daily Live Session with Lifelong Learning - Participate in a daily live session with industry experts where professionals from around the world connect with SMEs and have a brainstorming session.
15 Beyond Generation: The Rise of Agentic AI+
•Agentic AI: An Overview
•The Real Contrast Between Generative and Agentic AI
•How Agentic AI Actually Works in SCM
•Self-Optimizing Logistics Agents and Autonomous Decision-Making in SCM
Learn from Experts
Learn from experienced practitioners and industry leaders who bring real-world expertise and practical insights to the program.
Maxim Salnikov
MICROSOFT
DIGITAL AND APP INNOVATION BUSINESS LEAD, WESTERN EUROPE
Hayk Hakobyan
INSIGHTGENIE
CO-FOUNDER
Artus Phee
AGILEASIA
CHIEF OPERATING OFFICER
Suvarsha Rai
AMAZON
SR. TECHNICAL PRODUCT MANAGER
Ziggy Rafiq
CAPGEMINI
SOFTWARE ENGINEERING LEAD
Trevor Wiseman
THE CIRCUIT
VP OF TECHNOLOGY & AI GOVERNANCE
Caleb Jephunneh
BRICKLABSAI
CEO | GLOBAL AI SPEAKER
Swathi Adimulam
ORACLE
OCI CLOUD & AI ARCHITECT
Leela VenkataSatish Kolla
LTIMINDTREE
DIRECTOR PROGRAM PROJECT MANAGEMENT
Baris Dirim
CULTUREASY
HUMAN SYSTEMS ARCHITECT
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Target Audience For Certified Generative AI for Supply Chain Management
Pre-Requisites For Generative AI For Supply Chain Management Certification
Basic knowledge of supply chain management principles.No advanced technical skills required.Readiness to learn about artificial intelligence
Exam Details Of Supply Chain Management Certificate
Exam Questions
40
Exam Format
Multiple choice
Language
English
Passing Score
65%
Duration
90 min
Open Book
No
Certification Validity
5 Years
Complimentary Retake
Yes
Sample Certification
About Certified Generative AI for Supply Chain Management
GSDC’s Certified Generative AI for Supply Chain Management is built around one problem: supply chains break not because data is missing, but because decisions are slow, fragmented, and reactive. This program focuses on how generative AI can be placed directly inside planning, sourcing, and logistics workflows so systems can generate options, test scenarios, and recommend actions before disruptions escalate.
Instead of treating AI as a reporting layer, the curriculum shows how generative models reshape supply chain analytics from creating demand scenarios, designing inventory buffers, modelling supplier failure paths, to generating operational playbooks for logistics teams
Learners work with questions such as how generative AI actually works in planning environments, why generative AI is important when volatility is constant, and how AI driven supply chain intelligence changes day-to-day decisions.
Delivered through GSDC’s Learn by Doing methodology and supported by GSDC AI Studio, the certification places learners in applied planning simulations, disruption-response modelling, and real operational problem-solving, preparing them to build supply chains that don’t just report the past, but actively design the next move.