The global Gen AI in supply chain market was worth $301.83 Mn in 2022 and is forecasted to grow at a CAGR of 45.62% to reach $12,941.14 Mn by 2032
62% of firms anticipate significant AI-driven changes in supply chain management within the upcoming two years, foreseeing substantial impact
AI can predict supply chain business outcomes with about 95% accuracy, enhancing decision-making and efficiency in the industry
Artificial Intelligence (AI) in Supply Chain Management Course Benefits
The market for generative AI is projected to grow to $1.3 trillion by 2032, and AI is expected to displace 85 million jobs globally by 2025. AI is increasingly crucial in supply chain management to stay competitive and tackle industry challenges, and certification in AI-driven supply chain management enhances career prospects.
Annual Salary
Hiring Companies
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Annual Salary
Hiring Companies
Want to become a Supply Chain Manager?
Annual Salary
Hiring Companies
Want to become a Supply Chain Manager?
Why AI in Supply Chain Management from edureka
Live Interactive Learning
World-Class Instructors
Expert-Led Mentoring Sessions
Instant doubt clearing
Lifetime Access
Course Access Never Expires
Free Access to Future Updates
Unlimited Access to Course Content
24x7 Support
One-On-One Learning Assistance
Help Desk Support
Resolve Doubts in Real-time
Hands-On Project Based Learning
Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments
Industry Recognised Certification
Edureka Training Certificate
Graded Performance Certificate
Certificate of Completion
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About your AI in Supply Chain Management
Artificial Intelligence (AI) in Supply Chain Management Course Skills Covered
Leveraging Generative AI
Inventory Management
Demand Forecasting
Supply Chain Management
Production Flow Analysis
Logistics Optimization
Tools Covered in Artificial Intelligence (AI) in Supply Chain Management Course
Artificial Intelligence (AI) in Supply Chain Management Course Curriculum
Curriculum Designed by Experts
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Introduction to AI for Supply Chain Management
14 Topics
Topics
Introduction to AI and Generative AI
Introduction to ChatGPT and OpenAI
Introduction to Prompt Engineering
Prompt Engineering for SCM
Prompt Design Strategies
Types of Prompting
How to Get Better Responses from ChatGPT
Introduction to Supply Chain Management
Challenges in Traditional Supply Chains
Applications of AI in Supply Chain Management
Benefits of AI Adoption
Case Studies
Ethical Considerations and Sustainability in AI-Driven Supply Chains
Future Trends: AI, 5G, and the Smart Supply Chain
Hands-on Projects
Implementing Prompt Engineering for Different Scenarios
Case Study Analysis
Ethical Decision-Making
Skills You will Learn
Generative AI Understanding
Explore the power of ChatGPT
Crafting Effective Prompts
Supply Chain Analysis
Foundations and Principles of Supply Chain Management
12 Topics
Topics
Evolution of Operations: Craftsmanship to Industry 4.0
Quality Management: Cost, Reporting, Six Sigma, Control Charts
Product Design Strategies
Service Design: Queuing System Analysis
Process Selection Strategies: Break-even Analysis, Annualization
Facility Location Selection
Capacity Planning and Facility Design: Production Flow Analysis
Technology Learning and Bullwhip Effect
Lean Manufacturing Principles
Global Supply Chain Management
Legal and Regulatory Issues in SCM
Emerging Trends and Technologies in SCM
Hands-on Projects
Data Analysis
Simulations
Skills You will Learn
Data Analysis
Simulation Modeling
Critical Thinking
Problem Solving
Legal and Regulatory Knowledge
Advanced Supply Chain Planning and Management
16 Topics
Topics
Understanding Data Management and Analysis in SCM
AI-based Applications in Supply Chain Management
Generative Models: GANs, VAEs, and Beyond
Anomaly Detection and Predictive Maintenance using Generative Models
Simulation Modeling for Supply Chain Design with Generative AI
Production Planning with Generative AI Techniques
Leveraging Unsupervised Learning for Supply Chain Optimization
Procurement Optimization
Risk Management and Resilience in Supply Chains with Generative AI
AI for Route Optimization and Transportation Management
Autonomous Vehicles and Drones in Logistics
Intelligent Load Balancing and Resource Allocation in Logistics
Last-Mile Delivery Optimization with AI
Multi-Modal Transportation Optimization with AI
Aggregate planning & scheduling
Best Practices in Applying Generative AI to SCM
Hands-on Projects
Data Analysis
AI Implementation
Simulation Modeling
Unsupervised Learning Application
Risk Management Analysis
Collaborative Logistics Implementation
Skills You will Learn
Data Analysis
AI Implementation
Simulation Modeling
Risk Management Analysis
Environmental Sustainability
Implementing AI in Supply Chain Management
9 Topics
Topics
Strategy Development for AI Adoption
Reinforcement Learning Applications in Supply Chain Planning
Hybrid Layout Optimization through Clustering Techniques
Dynamic Pricing and Online Advertisement Strategies using Bandit Algorithms
Automated Warehouse Management Systems
Demand Forecasting and Regression Analysis in Supply Chain Optimization
Multi-Agent Systems for Collaborative Supply Chain Decision Making
Predictive Maintenance and Asset Management using Machine Learning
Real-Time Supply Chain Visibility and Predictive Analytics
Hands-on Projects
Implementing and fine-tuning reinforcement learning algorithms for supply chain planning
Applying clustering techniques to optimize warehouse layout design
Designing and testing dynamic pricing strategies
Conducting demand forecasting using regression analysis
Implementing predictive maintenance and asset management systems
Skills You will Learn
Data Analysis and Interpretation
Machine Learning and Optimization
Decision-Making and Strategic Thinking
Free Career Counselling
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About the Artificial Intelligence (AI) in Supply Chain Management Course
About Artificial Intelligence (AI) in Supply Chain Management Course
The Artificial Intelligence (AI) in Supply Chain Management Course is designed to provide learners with a comprehensive understanding of how AI technologies can revolutionize and optimize supply chain operations. This course covers a wide range of topics, including demand forecasting, inventory management, logistics optimization, and predictive analytics, all within the context of supply chain management. Learners will learn about the latest AI techniques and tools used in the industry, such as machine learning algorithms and Generative AI models. Through hands-on projects and case studies learners will gain practical experience in applying AI solutions to real-world supply chain challenges.
Why take up this Artificial Intelligence (AI) in Supply Chain Management Course?
Enrolling in the Artificial Intelligence (AI) in Supply Chain Management course offers compelling advantages , it gives learners the skills and knowledge they need to use AI technologies to optimize supply chain operations, increase efficiency, and cut costs. This certification provides a competitive edge by demonstrating proficiency in high-demand areas such as data analysis, machine learning, and logistics optimization. Furthermore, supply chain management is becoming more and more dependent on AI, which helps people stay ahead of the curve, prepared to take on new opportunities and overcome industry challenges. Additionally, obtaining a certification in AI-driven supply chain management improves one's chances for career advancement and opens doors to a variety of job roles.
Who should take up this Artificial Intelligence (AI) in Supply Chain Management Course?
The Artificial Intelligence (AI) in Supply Chain Management course is suitable for:
Supply Chain Professionals
Procurement Specialists
Logistics Managers
Business Strategists
Entrepreneurs
Anyone interested in Supply Chain Management
What are the prerequisites for this Artificial Intelligence (AI) in Supply Chain Management Course?
There are no prerequisites required for this Artificial Intelligence (AI) in Supply Chain Management course. However, it is beneficial to have:
Basic Python Programming Knowledge
Problem Solving Skills
What are the system requirements for this Artificial Intelligence (AI) in Supply Chain Management course?
The system requirements for a Artificial Intelligence (AI) in Supply Chain Management Course include:
A laptop or desktop computer with a minimum of 8 GB RAM with Intel Core-i3 and above processor to run machine learning models is required.
A stable and high-speed internet connection is necessary for accessing online course materials, videos, and software.
You will never miss a lecture at Edureka! You can choose either of the two options: View the recorded session of the class available in your LMS. You can attend the missed session, in any other live batch.
Practicals for this course will be implemented using Python, VS Code and Jupyter Notebook. Detailed step-by-step installation guides are available on the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.
Artificial Intelligence (AI) in Supply Chain Management Course Projects
Forecasting demand for a product
The company faces challenges in accurately forecasting the demand for its product, leading to inventory shortages or excesses, inefficient production planning, and suboptimal sup....
AI-driven Supplier Performance Analysis and Optimization
The company faces challenges in effectively managing supplier relationships and ensuring consistent performance across its supply chain network. Variability in delivery times, pr....
Artificial Intelligence (AI) in Supply Chain Management Certification
To unlock the Edureka’s Artificial Intelligence (AI) in Supply Chain Management course completion certificate, you must ensure the following:
Completely participate in this Artificial Intelligence (AI) in Supply Chain Management Course.
Evaluation and completion of the quizzes and projects listed.
The certification in Artificial Intelligence (AI) in Supply Chain Management provides a significant advantage in the job market by equipping individuals with crucial skills and credentials necessary for success in supply chain management. It boosts career prospects, enhances employability, and serves as a recognized validation of proficiency in utilizing AI technologies to streamline supply chain operations. Certified professionals showcase expertise in data analysis, machine learning, and logistics optimization, distinguishing themselves to employers across various industries. This contributes to improved efficiency, innovation, and cost-effectiveness in supply chain processes.
After completing an Artificial Intelligence (AI) in Supply Chain Management course certification, individuals can pursue various job roles, including:
Supply Chain Analyst
Logistics Engineer
Demand Planner
Operations Manager
AI Solution Architect
Supply Chain Consultant
Inventory Manager
Procurement Analyst
Transportation Planner
Sustainability Analyst
Your Name
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The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate
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Artificial Intelligence (AI) in Supply Chain Management Course FAQs
What is the significance of AI in Supply Chain Management?
AI enhances supply chain efficiency by enabling predictive analytics, demand forecasting, optimization, and automation, leading to cost savings and improved decision-making.
How does AI improve demand forecasting in supply chains?
AI algorithms analyze historical data, market trends, and external factors to generate accurate demand forecasts, reducing inventory costs and stockouts while improving customer satisfaction.
Will I get placement assistance after completing this Artificial Intelligence (AI) in Supply Chain Management Course?
To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.
Who are the instructors for Artificial Intelligence (AI) in Supply Chain Management Course?
All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.
What if I have more queries after completion of Artificial Intelligence (AI) in Supply Chain Management Course?
Just give us a CALL at +91 98702 76459/1844 230 6365 (US Tollfree Number) OR email at sales@edureka.co.
What if I miss a class of Artificial Intelligence (AI) in Supply Chain Management Course?
You will never miss a lecture at Edureka! You can choose either of the two options:
View the recorded session of the class available in your LMS.
You can attend the missed session, in any other live batch.