Participants will be introduced to generative AI fundamentals, prompt engineering, and practical applications such as automated inventory systems, predictive maintenance, and route optimization. The workshop will also cover ethical AI use, good and bad uses of generative AI (GenAI), and rapidly emerging use cases. By the end of the session, participants will have a better understanding of how to begin applying AI to enhance supply chain processes and drive success within their organizations.

Event includes networking, presentation, light bites, beverages, and Q&A.

Featuring Chris Gaffney, Managing Director of the Supply Chain and Logistics Institute (SCL), Academic Program Director for Georgia Tech Professional Education, and Edenfield Executive-in-Residence and a Professor of the Practice in the H. Milton Stewart School of Industrial and Systems Engineering.

Register via Eventbrite to attend the event taking place at the Georgia Tech Atrium (147 Technology Parkway Northwest, Peachtree Corners, GA 30092), the first-of-its-kind professional, academic, and research innovation space within Curiosity Lab’s state-of-the-art Innovation Center.

Register Online to Attend

Event Details

On Campus/In-Person (Georgia Tech Exhibition Hall)

• Wednesday, September 9, 2026 | 10am-2pm ET 

Students

We strongly encourage you to attend to seek full-time employment, internships, and projects (rather than waiting until the end of the semester).

Organizations

If you are interested in hosting a table for our upcoming session, please let us know after reviewing the below information within our website. Early registration closes August 1st!

MORE INFORMATION AND EVENT REGISTRATION

Visit https://www.scl.gatech.edu/outreach/supplychainday.

This course provides a deep dive into the ways in which artificial intelligence (AI) optimizes supply chain efficiency. Participants will explore generative AI fundamentals, prompt engineering, and practical applications such as automated inventory systems, predictive maintenance, and route optimization. The course also covers ethical AI use, good and bad use of generative AI (GenAI), and rapidly emerging use cases. By the end, professionals will be skilled in applying AI to enhance supply chain processes and drive success in their organizations.

Who Should Attend

This course targets supply chain managers, data analysts, logistics professionals, procurement specialists, and business leaders aiming to harness GenAI for enhanced supply chain operations. It is ideal for those interested in GenAI-driven efficiency, strategic insights, and navigation of GenAI's role in transforming supply chain processes.

How You Will Benefit

• Enhance decision-making capabilities through GenAI-driven insights to optimize processes and boost efficiency.
• Acquire practical skills in prompt engineering and the use of generative AI models.
• Explore practical use cases that can be reapplied.
• Learn about good and bad use of GenAI for individuals, teams, and organizations.
• Become better equipped to effectively harness GenAI capabilities in supply chain activities and planning.

What Is Covered

• Foundational understanding of using GenAI in supply chain management
• Basics of GenAI
• Crafting effective AI prompts and their applications in optimizing warehouse layouts
• Predictive maintenance and supplier selection
• Elimination of redundant tasks through AI
• Ethical considerations, risk assessments, and strategy for AI adoption
• Practical strategies and real-world examples for implementing AI solutions effectively and making informed decisions

This landmark edition will begin in Albi, where the pre-conference on June 5–6 will bring together PhD students, researchers, and industry professionals for interactive training sessions, including the “My Thesis in 180 Seconds” challenge, and immersive learning experiences using cutting-edge Virtual Reality games. The event will then move to Bordeaux from June 8–10 for the main conference, themed “Supply Chain and Logistics Intelligence in the Era of the Physical Internet: Bridging High-Tech and Low-Tech Solutions.” 

Participants will enjoy a vibrant program featuring scientific and industrial sessions, inspiring keynotes, dynamic roundtables, exhibitions, company visits, and collaborative workshops designed to foster innovation and shape the future of logistics and supply chain networks.

And, because logistics is global, participants will be from all over the world including researchers, industrial and international institution members, local authorities and standardization committees.

About the Physical Internet Initiative
The Physical Internet Initiative aims at transforming the way physical objects are moved, stored, realized, supplied and used, pursuing global logistics efficiency and sustainability. Originating from Professor Benoit Montreuil in 2006, this ground breaking vision, revolutionizing current paradigms, has stirred great interest from scientific, industrial as well as governmental communities.

This course is the third in the four-course Supply Chain Analytics Professional certificate program. It introduces the field of machine learning, an area where algorithms learn patterns from data to support proactive decision making, as it applies to supply chain management. You’ll use machine learning to conduct predictive analytics as you forecast future demand, develop inventory policies, perform customer segmentation and predictive maintenance. You’ll use Python and PowerBI to create and analyze regression, clustering, and classification models.

The course is comprised of (4) half-day online instructor-led LIVE group webinars and pre-work (e.g. installing and testing software on your computer, testing connectivity with LMS and meeting software, etc.) to be completed before the first day of the course. An optional pre-course webinar is typically held the Thursday before the course start date (July 6).

Who Should Attend

Experienced business professionals who perform or want to perform analytics to improve their supply chain management processes. They want to tackle strategic goals and to perform leading edge analytics projects that address the full complexity of supply chains.

How You Will Benefit

• Understand the role of machine learning (ML) in Supply Chain Management (SCM)
• Apply advanced analytics techniques to build planning tools that can leverage large and real-time data sets
• Apply ML in demand forecasting and predictive maintenance
• Understand how to assess ML model performance, improve models, and pick the best model for a decision
• Use Python and PowerBI to build, analyze, and deploy ML models

What You Will Learn

• How ML relates to SCM
• ML algorithms such as regression trees, clustering techniques, decision trees, random forests, logistic regression
• Aspects of ML projects including parameter tuning, cross validation, and assess model performance
• Application of ML in demand forecasting for sales and operations planning (S&OP) and inventory management
• Application of ML in predictive maintenance
• Hands-on practice with these skills using data from the (fictional) Cardboard Company (CBC)

The requirement for high levels of customer service, increasing numbers of SKUs and high labor costs have dramatically increased the complexity of warehouse operations. It is no longer sufficient to manage a warehouse based on a simple, arbitrary “ABC” classification of SKUs, which treats all those in a category as if they were identical. Instead, each decision – such as where to store or where to pick product – must be based on careful engineering and economic analysis. Each SKU must identify its own cheapest, fastest path through the warehouse to the customer and then compete with all the other SKUs for the necessary resources. This results in warehouse operations that are finely tuned to patterns of customer orders and maximally efficient. Learn the concepts necessary to address modern warehouse trade-offs between space and time in optimizing and managing your warehouse.

Essential learning for those who are seeking cost reductions through better handling methods. Also valuable for those who must replace, upgrade, or add material handling equipment. The two-day course will include case examples and a guided exercise to ensure mastery of the techniques presented.

WHO SHOULD ATTEND

Supply chain and logistics consultants, supply chain engineers and analysts, facility engineers, and warehouse supervisors and team leaders

HOW YOU WILL BENEFIT

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

• Exchange space for time (or vice versa) to better meet business objectives.
• Understand when to use dedicated storage and when to use shared storage.
• Identify the most convenient locations in a warehouse based on an economic model.
• Identify patterns in customer orders and exploit these to speed fulfillment.
• Evaluate warehouse performance.
• Optimally size and stock a forward pick area.
• Understand the best practices in order-picking.

WHAT IS COVERED

• Warehouse performance
• Modern warehouse trade-offs
• Size and stocking optimization
• Order-picking best practices
• Automation

COURSE MATERIALS

• Online access to course material in electronic format
• Access to an e-copy of the book “Warehouse & Distribution Science” as well as access to an accompanying suite of software to aid in warehouse analytics and optimization.

COURSE PREREQUISITES

None.

CERTIFICATE INFORMATION

This course is part of the Distribution Operations Analysis & Design (DOAD) Certificate.

This course is the fourth in the 4-course Supply Chain Analytics Professional certificate program. It incorporates learning advanced analytics and mathematical optimization to find solutions for supply chain problems. You’ll learn how to use linear programming, mixed integer programming, and heuristics to conduct prescriptive analytics related to production processes, distribution networks, and routing. The course serves as a capstone for the program by culminating in a hackathon where you’ll design networks, inventory policies, and scenarios and then evaluate the outcomes via simulations.

The online version of the course is comprised of (4) half-day online instructor-led LIVE group webinars and pre-work (e.g. installing and testing software on your computer, testing connectivity with LMS and meeting software, etc.) to be completed before the first day of the course.

Who Should Attend

Experienced business professionals who perform or want to perform analytics to improve their supply chain management processes. They want to tackle strategic goals and to perform leading edge analytics projects that address the full complexity of supply chains.

How You Will Benefit

• Use mathematical optimization to transform Supply Chain Management (SCM) processes.
• Apply LP, MIP, and heuristics to SCM, particularly in production planning, routing, and network design.
• Utilize PowerBI and Python in optimization projects.
• Participate in a hackathon that pulls together everything learned throughout the certificate program.

What Is Covered

• Role of mathematical optimization in addressing complex SCM challenges  
• Appropriate application of linear programming (LP), mixed integer programming (MIP), and heuristics
• Evaluation of production processes, distribution networks, and routes using optimization
• Ability to pull together all content of the certificate program into a prescriptive analytics project
• Hands-on practice with these skills using data from the (fictional) Cardboard Company (CBC)

This course focuses on defining, executing, and improving the sales and operations planning (S&OP) process. Participants will be introduced to the appropriate stakeholders of S&OP, the importance of S&OP to corporate performance, S&OP cadence, and the use of decision support tools to bring S&OP to the next level. Business cases will be used to show concrete examples of companies where S&OP is effectively applied.

Who Should Attend

This course is designed for chief operating officers; supply chain, sales, marketing and finance management executives (directors, vice presidents, executive vice presidents); supply chain and logistics managers, consultants, supervisors, planners, and engineers; supply chain education and human resource management personnel, inventory and demand planners, and procurement and sourcing analysts and managers; and manufacturing planners, analysts, and managers.

How You Will Benefit

• Understand the need for an S&OP process in a company.
• Apply the principles that are the key to success of an S&OP process.

What You Will Learn

• S&OP process and technology
• S&OP implementation planning and execution
• S&OP stakeholder and communications planning
• S&OP business case and best practices
• S&OP process management

This course prepares you for the basics of transportation operations and analysis. Throughout the course, you’ll review the key elements of transportation such as modes of transportation, transportation procurement, cost minimization techniques, the role of ports in global logistics, and international trade terms. There will also be discussion around emerging trends in North American transportation markets, emerging techniques, and greenhouse gas emissions reduction.

Who Should Attend

This course is designed for Supply Chain Managers, Distribution Managers, Transportation Planners, Transportation Clerks, Transportation Analysts, and Transportation Managers and learners seeking to enter these roles.  Supply chain professionals from other domains will also benefit through gaining insights into transportation operations.

How You Will Benefit

• Understand the characteristics and best use of specific transportation modes
• Apply transportation cost analysis techniques
• Understand the multimodal role of ports in global trade
• Identify and apply best practices in transportation procurement
• Understand how to minimize transportation costs through consolidation techniques
• Understand the role of Incoterms in global trade
• Understand emerging techniques in logistics including techniques to reduce greenhouse gas emissions in logistics

What You Will Learn

• Comparison of characteristics of alternative transportation modes
• Components of Port Logistics systems
• Best practices in transportation procurement
• Application of practical transportation cost analysis techniques
• INCOTERMS purpose, types, and use
• Greenhouse gas emission generation in logistics and mitigation strategies
• New business models in logistics enabled by emerging technologies