Experienced professionals who want to improve their SCM processes using analytics and/or want to learn how to grow/develop analytics projects in their operations organization.

The program consists of four courses:

Course 1: Transforming Supply Chain Management and Performance Analysis

Course 2: Creating Business Value with Statistical Analysis

Course 3: Machine Learning Applications for Supply Chain Planning

Course 4: Supply Chain Optimization

Each course moves along the analytics continuum from dashboarding and data visualization to machine learning and optimization.

Take all four courses in the Supply Chain Analytics Professional (SCA) series within four years to receive your certificate. Classes can be taken in any order to complete the program.

• Course 1: Transforming Supply Chain Management and Performance Analysis

This course prepares you to apply leading-edge analytical methods and technology enablers across the supply chain. Learn the dynamics of supply chains, the most relevant planning challenges, and the roles of different types of analytics. Next, discover data cleansing, exploratory data analysis, and visualization. Use Python and PowerBI to analyze the causes of underperformance and to build dashboards to visualize supply chain data before seeing how to gather, analyze, and prepare your data through descriptive analytics. Discuss the causes of underperformance and to build dashboards to visualize supply chain data before seeing how to gather, analyze, and prepare your data through descriptive analytics.

Class Date(s):

Next class dates to be announced

⊕ Learn more about Course 1 or Enroll to save your spot

• Course 2: Creating Business Value with Statistical Analysis

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. Learn several statistics concepts (e.g. variance analysis, hypothesis testing, forecasting methods) along with inventory management models. 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.

Note: Knowledge of content and ability to apply skills covered in Course 1 of the program is beneficial but not required to take Course 2.

Class Date(s):

Next class dates to be announced

⊕ Learn more about Course 2 or Enroll to save your seat

• Course 3: Machine Learning Applications for Supply Chain Planning

This course 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. Use machine learning to conduct predictive analytics as you forecast future demand, develop inventory policies, perform customer segmentation and predictive maintenance. Use Python and PowerBI to create and analyze regression, clustering, and classification models.

Note: Knowledge of content and ability to apply skills covered in Courses 1 and 2 of the program is beneficial but not required to take Course 3.

Class Date(s):

September 15 - 18, 2025

⊕ Learn more about Course 3 or Register to save your seat

• Course 4: Supply Chain Optimization and Prescriptive Analytics

The course incorporates learning advanced analytics and mathematical optimization to find solutions for supply chain problems. Learn how to use linear programming, mixed integer programming, and heuristics to conduct prescriptive analytics related to production processes, distribution networks, and routing. This 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.

Note: Knowledge of content and ability to apply skills covered in Courses 1, 2, and 3 of the program is beneficial but not required to take Course 4.

Class Date(s):

December 1- 4, 2025

⊕ Learn more about Course 4 or Register to save your seat

Ayush Gupta

Ayush Gupta is a Strategic Routing Consultant at ORTEC. He creates optimized standard routes that align with client business strategy and goals, specializing in the CPG and wholesale industries. His skillset includes data analysis (python and excel), client engagement, software configuration, and route analysis. Ayush studied Industrial Engineering at Georgia Tech, with a focus on economic and financial systems.

Harrison Verhine

Harrison Verhine is an Optimization Engineer for the Supply Chain Planning division at ORTEC, building tailor-made tools for clients’ unique supply chain challenges. His experience includes developing optimization models for trading natural gas and building simulations for aircraft maintenance.  He has an interest in operations research, modeling, and simulations, with a passion for learning and solving problems.

Jackson Fisher

Jackson Fisher is a Routing Consultant on ORTEC’s Supply Chain Planning team, where he is responsible for the implementation of ORTEC solutions for customers, combining extensive knowledge of both the products and industries which they serve. Jackson also has experience as an Optimization Engineer for ORTEC’s consulting group, where customized mathematical optimization apps are built to address our customers' unique supply chain needs. 

Lorenzo Simons

Lorenzo Simons is an OR engineer in the Center of Excellence at ORTEC. With a commitment to knowledge dissemination and project alignment with contemporary market trends, Lorenzo brings extensive experience to his roles. Prior to his tenure at ORTEC, Lorenzo conducted research at the Universidad Pontificia Comillas in Madrid, Spain. His work has spanned diverse projects, including route planning, supply chain optimization, and electric mobility. Lorenzo's expertise has led him to be sought after as a guest speaker at numerous universities, where he shares insights into how ORTEC utilizes data science and mathematics in practical applications.

Sebastian Thierbach

Sebastian Thierbach is a Senior Consultant in ORTEC’s Supply Chain Planning group, where he has developed high expertise in cloud-native B2B products. An ORTEC team member since 2008, he excels at streamlining workflow documentation and optimizing customer processes. He is dedicated to translating complex business challenges into innovative, efficient solutions for clients across diverse industries.

Questions?

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