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This course is the first in the four-course Supply Chain Analytics Professional certificate program. It prepares you to apply leading-edge analytical methods and technology enablers across the supply chain. You’ll learn the dynamics of supply chains, the most relevant planning challenges, and the roles of different types of analytics. Next, you’ll learn about data cleansing, exploratory data analysis, and visualization. You’ll use Python and PowerBI to analyze the causes of underperformance and to build dashboards to visualize supply chain data. You will leave knowing how to gather, analyze, and prepare your data through descriptive analytics before you dig into deeper applications.

The online version of the course is comprised of (4) half-day 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

• Understand the most relevant planning challenges across the strategic, tactical, and operational levels of supply chains
• Learn the difference between analytics types, the links between them, and how to best use them to improve supply chain management (SCM) processes
• Use Key Performance Indicators (KPIs) to find causes of underperformance in supply chains and to plan for analytics projects that will address strategic SCM goals
• Utilize Python and PowerBI to understand, visualize, and analyze data in order to prepare for deeper analytics

What Is Covered

• The role of analytics in SCM
• Types of analytics (descriptive, diagnostic, predictive, and prescriptive) and the relationships between them
• Preprocessing (cleaning and integrating) data as it relates to SCM
• Conducting exploratory data analysis on supply chain data
• Best practices for visualizing data and building dashboards
• Identifying and analyzing KPIs of SCM
• Hands-on practice with these skills using data from the (fictional) Cardboard Company (CBC)

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 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 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 is the second in the four-course Supply Chain Analytics Professional certificate program. It emphasizes operational performance metrics to align supply chain management with strategic business goals. You’ll learn several statistics concepts (e.g. variance analysis, hypothesis testing, forecasting methods) along with inventory management models. You’ll use diagnostic analytics with PowerBI and Python to conduct demand and service profiling, undertake root cause analysis, and use time series forecasting in inventory management.

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

• Understand why and how to align Supply Chain Management (SCM) strategy with business strategy
• Learn statistics techniques as they relate to SCM
• Understand inventory management models and how to apply statistics techniques to them
• Create time series forecasts based on SCM data
• Utilize Python and PowerBI to perform statistical analyses, create time series forecasts and visualize results

What Is Covered

• The importance of aligning SCM and business strategy
• How to ask the right business questions as they relate to SCM
• How to use statistics to identify issues, compare data, and forecast decision outcomes
• Statistical concepts including variance analysis and hypothesis testing
• Inventory management models
• Applying statistics to inventory management models
• Forecasting techniques including time series forecasting
• Hands-on practice with these skills using data from the (fictional) Cardboard Company (CBC)

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.

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