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
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Annual Salary
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Annual Salary
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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
Skills Covered in Artificial Intelligence in Supply Chain Management Course
Leveraging Generative AI
Inventory Management
Demand Forecasting
Supply Chain Management
Production Flow Analysis
Logistics Optimization
Tools Covered in AI Supply Chain Management Training Course
AI for Supply Chain Management Course Curriculum
Curriculum Designed by Experts
DOWNLOAD CURRICULUM
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 Chainย 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
We are happy to help you 24/7
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About the AI in SCM Certification Course
What is Artificial Intelligence (AI) in Supply Chain Management Course?
The AI in Supply Chain 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 in SCM Training?
Enrolling in the 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 in Supply Chain Management Course?
The AI in Supply Chain 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 for Supply Chain Management Training?
There are no prerequisites required for this Artificial Intelligence (AI) course in Supply Chain Management. However, it is beneficial to have:
Basic Python Programming Knowledge
Problem Solving Skills
What are the system requirements for this Artificial Intelligence (AI) course in Supply Chain Management?
The system requirements for an AI in Supply Chain 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.
How will I execute the practicals in this Artificial Intelligence (AI) in Supply Chain Management Course?
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.
How do I enroll in the AI Supply Chain Management training course?
There are simple steps to enroll in this AI Supply Chain Management certification course:
Check the Course Details
Create an Account
Click Enroll now
Select your Batch and Timing
Complete your Payment
Get a confirmation mail
Start learning
Can I access the course materials after AI in SCM course?
Edureka provides lifetime access to the course content. You can come back any time if you want to brush up your knowledge.
"Can I enroll in the AI Supply Chain Management training course after it has started? "
If you missed out on joining our current batch, then you can connect with our experts to get you enrolled in the next batch.
How do I provide feedback on the AI in Supply Chain Management Course?
We take each feedback seriously. So after completing every class, our Edureka support team will contact you for your valuable feedback on the course.
Are you providing corporate training for this AI Supply Chain Managment Course?
Yes, we are providing corporate training for this AI in SCM course.
What is the cost of this AI Supply Chain Management course?
The cost of this AI in SCM training course is INR 15,299/-. Use our no-cost EMI option and get started for just โน5,100/month, With no extra amount. Invest in your future now, and pay later!
What is included in this AI for Supply Chain Management Certification Course?
AI in SCM course and includes 15 hours of training, live sessions, lifetime access, 24/7 support and you will learn the skills of Production Flow Analysis, Inventory Management, etc. And get industry-relevant projects, Quizzes & Assignments.
What is the duration of this AI Supply Chain course?
Duration of this Online Certification Course on Supply Chain Management is 15 hours.
AI in Supply Chain Management Certification 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 Edurekaโs AI 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 certification course, 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
John Doe
Title
with Grade X
XYZ123431st Jul 2024
The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate
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AI Supply Chain Certification 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 AI for 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 in Supply Chain Course?
All the instructors at edureka are practitioners from the Industry with a minimum of 10-12 years of relevant experience. They are subject matter experts and are trained by edureka to provide an awesome learning experience to the participants.
What if I have more queries after completion of the AI for Supply Chain Management Training?
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 on Artificial Intelligence in Supply Chain Management Course?
You will never miss a lecture at Edureka! You can choose either of the two options:
View the recorded class session available in your LMS.
You can attend the missed session or any other live batch.
How to use AI in supply chain management?
AI in Supply chain management is used to monitor supply and worker shortages, factory shutdowns, and shipping delays, among other issues in the organizations.
What is the future of AI in the supply chain?
The future of AI in supply chain management can provide more accurate forecast details, an advanced version of inventory management, etc. It helps companies by cutting down on costs, improving agility, enhancing customer satisfaction, etc.
How AI is helping in agri supply chain management?
AI is used in agriculture supply chain management by improving demand forecasting, optimizing inventory and logistics, and improving quality control, etc.
Will AI replace Supply Chain Management?
AI will not replace Supply Chain Management, but it will help by automating tasks, optimizing processes, and providing valuable insights through data analysis. It will also help complete complex challenges within a short time.
What are the AI tools available for supply chain management?
IBM Watson Supply Chain, SAP Integrated Business Planning, Oracle Supply Chain Management Cloud, Llamasoft, ClearMetal, etc, are some of the best and most used AI tools in Supply Chain Management.
How many companies using AI in supply chain management?
According to the latest reports, 60 to 80% of companies are currently using AI in supply chain management processes. Industries like retail, manufacturing, logistics, and agriculture mostly use AI in SCM to increase efficiency, reduce costs, and improve decision-making.
What are the other Courses on Artificial Intelligence provided by Edureka?