AI and Gen-AI for Supply Chain Management

Jorge Morales and Amit Sinha

Supply chain management is instrumental and strategically important for an organization’s success. With the advent of digital technologies, cloud, and especially AI and Gen AI, there are novel ways to serve customers, enhance profitability, and save costs by adopting these disruptive technologies. At the same time, innovation in the supply chain process is recommended to harness the power of AI and Gen AI.

Supply chain management is instrumental and strategically important for an organization’s success. With the advent of digital technologies, cloud, and especially AI and Gen AI, there are novel ways to serve customers, enhance profitability, and save costs by adopting these disruptive technologies. At the same time, innovation in the supply chain process is recommended to harness the power of AI and Gen AI.

This course "AI and Gen AI for Supply Chain Transformation" is designed to provide learners with a comprehensive understanding of the role of AI and Gen AI in transforming supply chain management. The course covers the fundamentals of supply chain management, associated processes, data, analytics, teams, and technologies for managing the supply chain.

The course will cover topics such as machine learning, deep learning, natural language processing, and computer vision, and how these technologies are used in supply chain management. The course will then delve into the applications of AI and Gen AI in supply chain management, including demand forecasting, supply planning, inventory management, sourcing optimization, and logistics management. Learners will understand how AI and Gen AI can help organizations improve their supply chain efficiency, reduce costs, and enhance customer satisfaction.

The course will also explore the benefits of using AI and Gen AI in supply chain management, such as improved accuracy, speed, and decision-making. Learners will understand how AI and Gen AI can help organizations gain a competitive advantage and drive business success. The course will also discuss the challenges associated with implementing AI and Gen AI in supply chain management, such as data quality, privacy, and security concerns. The course will feature case studies and real-world examples.

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What's inside

Learning objectives

* supply chain management (scm): process and applications
* limitations and challenges of supply chain
* digital technologies: cloud, ai, ml, robotics, gen ai, applications for scm
* fundamentals on ai, and gen ai along with supply chain and manufacturing applications

* examples and use cases for ai and gen ai for scm
* challenges, and associated risks while using ai and gen ai for supply chain transformation
* recommended strategy and guidance for adopting ai and gen ai for your organization’s supply chain.

* supply chain management (scm): process and applications
* limitations and challenges of supply chain
* digital technologies: cloud, ai, ml, robotics, gen ai, applications for scm
* fundamentals on ai, and gen ai along with supply chain and manufacturing applications
* examples and use cases for ai and gen ai for scm
* challenges, and associated risks while using ai and gen ai for supply chain transformation
* recommended strategy and guidance for adopting ai and gen ai for your organization’s supply chain.

Syllabus

Week 1: Supply Chain Management Evolution

Introduction to the concepts of supply chain, associated processes, limitations, value delivered, and opportunities.

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in AI and Gen-AI for Supply Chain Management with these activities:

Organize Course Materials

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Organize notes, assignments, quizzes, and exams to enhance understanding of course materials.

Browse courses on Supply Chain Management

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Gather and organize notes from lectures and readings
Review and synthesize the organized materials

Review Supply Chain Management concepts

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Refresh your knowledge of SCM concepts to lay the groundwork for the course.

Browse courses on Supply Chain Management

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Review your class notes and textbooks from previous SCM courses.
Identify and review the key concepts of SCM.
Complete practice problems or exercises to test your understanding.

Practice Supply Chain Optimization Techniques

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Solve practice problems and case studies to reinforce understanding of supply chain optimization techniques and algorithms.

Browse courses on Supply Chain Optimization

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Identify practice problems or case studies related to supply chain optimization
Apply optimization techniques and algorithms to solve the problems or case studies
Analyze and interpret the results

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Design a Supply Chain Management Process

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Create a supply chain management process for a real-world scenario.

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Identify a real-world business scenario that requires a supply chain management process.
Research and gather information about the specific industry and business.
Design the supply chain management process, considering factors such as product flow, inventory management, and transportation.
Develop a detailed plan for implementing the process.

Explore AI and Gen AI Applications in Supply Chain

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Follow online tutorials or attend workshops to deepen understanding of AI and Gen AI applications in supply chain, such as demand forecasting and inventory optimization.

Browse courses on AI

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Identify reputable online tutorials or workshops on AI and Gen AI applications in supply chain
Participate in the tutorials or workshops
Apply the learned concepts to real-world supply chain scenarios

Practice Supply Chain Management Case Studies

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Practice applying SCM principles to real-world case studies to solidify your understanding.

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Find and read case studies on SCM.
Analyze the case studies and identify the key SCM issues.
Develop and evaluate alternative solutions for the issues identified.

Develop a Presentation on AI and Supply Chain Management

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Create a presentation that explores the transformative potential of AI in SCM.

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Research and gather information on the impact and potential of AI in SCM.
Develop an outline and structure for the presentation.
Create visual aids and supporting materials to enhance the presentation.
Practice delivering the presentation and gather feedback to improve its effectiveness.

Contribute to an Open-Source Supply Chain Management Project

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Contribute to an open-source project to gain practical experience in SCM and AI.

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Identify an open-source SCM project that aligns with your interests and skills.
Join the project community and get involved in discussions.
Review the project codebase and identify areas where you can contribute.
Propose and develop improvements or new features.
Submit pull requests to the project and actively participate in the code review process.