up to 15%
higher operating margins than competitors among leading supply chain organizations, with analytics and AI as a common denominator.
Gartner, Supply Chain Top 25, 2024
Operations & Projects
Supply Chain Analytics
Make smarter decisions for higher-value supply chains.
next edition Nov 5, 2026
duration 40 hours
study mode In person or online
language Portuguese
investment €2,000
why this program?
Today, competitive advantage in supply chain is driven by data
who is this for?
Different backgrounds, shared challenges
Supply Chain and Operations Management
Managers and directors responsible for planning, procurement, inventory, or distribution who want to bring greater analytical rigor to decision-making.
Planning, Demand Planning, and S&OP
Professionals working with significant volumes of data who are looking for forecasting and analytics methods beyond the capabilities available in ERP systems.
Consulting and Analytics
Supply chain consultants and analysts who want to strengthen the quantitative dimension of their profile in forecasting, optimization, and AI applied to operations.
Supply Chain Digital Transformation
Project managers who need to understand the analytical methodologies behind the solutions they are implementing and assess their impact more effectively.
what you will develop
Knowledge that translates into practice
Applied Sales Forecasting
Select and apply forecasting models suited to the demand profile and assess the quality of the results.
Analytical Inventory Management
Define data-informed inventory policies that balance service levels, capital tied up in inventory, and stockout risk.
Distribution Optimization
Assess distribution networks and the trade-offs between logistics costs, coverage, and service levels.
Operational Modeling and Simulation
Formulate and interpret optimization and simulation models applied to complex operational problems.
Data-Driven Decision-Making
Compare scenarios, quantify trade-offs, and support operational decisions through analytical models.
Artificial Intelligence in Supply Chain
Identify where machine learning and other AI approaches can create value and evaluate solutions with greater rigor.
why pbs?
4 reasons to choose this program
Program leadership with academic rigor and operational insight
Gonçalo Figueira is a Senior Researcher at INESC TEC and Professor at FEUP, specializing in supply chain management, business analytics, and decision support systems.
Specialists in each domain
Forecasting, inventory, distribution, optimization, and AI are led by faculty with expertise in each of these areas.
An integrated end-to-end approach
The five analytical domains are connected within a single learning journey, from demand forecasting to advanced optimization and artificial intelligence.
Real data and real-world problems
Exercises use supply chain data and operational scenarios to test methodologies against problems that reflect the reality of organizations.
expected impact
Outcomes that translate into value
For you
More informed supply chain decisions, with greater command of forecasting, inventory, distribution, and optimization models.
Greater ability to quantify improvement opportunities through scenario modeling, trade-off analysis, and financial impact estimation.
Greater AI literacy applied to supply chain, enabling you to critically evaluate solutions and engage effectively with technical teams.
A profile that combines operational experience with analytical skills, strengthening your ability to operate in digital supply chain environments.
For your organization
Greater ability to identify cost-reduction opportunities through better decisions on inventory, transportation, and distribution.
Greater resilience in volatile environments, with teams better prepared to review models and policies as conditions change.
More informed adoption of AI and advanced analytics, with stronger internal capabilities to assess, implement, and extract value from new solutions.
Apply to Supply Chain Analytics
Start applicationCustomize this program for your team
Contact our Corporate Solutions team
international recognition
Rankings that reinforce results.
Financial Times
Executive Education 2026 Worldwide
learning journey
From forecasting to optimization and AI
40 hours across five 8-hour blocks, from demand forecasting to the application of artificial intelligence in supply chain.
— Sales Forecasting for Managers8h · Vera Miguéis
Statistical forecasting techniques, model selection, and performance evaluation according to the demand profile.
— Analytics for Inventory Management8h · José Queiroga
Analytical models for inventory sizing and stock policies, balancing service levels, capital tied up in inventory, and stockout risk.
— Distribution in Services and Industry8h · Beatriz Oliveira
Analytical tools for distribution network design and management and the assessment of trade-offs between logistics costs and service levels.
— Advanced Operations Optimization8h · Gonçalo Figueira
Optimization and simulation applied to the formulation, solution, and interpretation of complex decision-support problems.
— Artificial Intelligence in Supply Chain Management8h · Daniel Pereira
Applications of AI and machine learning to planning, opportunity identification, and critical evaluation of solutions available on the market.
how you will learn
Immersive learning
Real-data cases
Apply the methodologies to real data from Portuguese and international supply chain operations and compare the results with decisions actually made by companies.
Sales forecasting lab
Work with real historical data to build, test, and evaluate alternative forecasting models and analyze the impact of methodological choices on the results.
Network optimization project
Formulate and solve a real logistics network design or optimization problem, comparing alternatives through simulation.
AI workshop in supply chain
Experiment with AI and machine learning tools applied to supply chain planning and assess how well each approach fits the context of your organization.
faculty
Program Director
I hold MSc and PhD degrees in Industrial Engineering and Management from FEUP. I am a Senior Researcher at the Centre for Industrial Engineering and Management from INESC TEC, and an Invited Professor at FEUP and other universities, where I have taught 7 different courses, across BSc, MSc and PhD levels. My expertise is in […]
Faculty
Vera Miguéis
A lecturer at Porto Business School, she is also an Assistant Professor in the Department of Industrial Engineering and Management at the Faculty of Engineering, University of Porto, and an Adjunct Assistant Professor at the Faculty of Economics and Management, Portuguese Catholic University. Holding a Ph.D. in Industrial Engineering and Management from the Faculty of […]
Beatriz Oliveira
Beatriz Brito Oliveira is an Assistant Professor at the Faculty of Engineering of the University of Porto (FEUP) and a Senior Researcher at INESC TEC. She has a master’s degree and a PhD in Industrial Engineering and Management. She has published in leading journals in Operations Research and Management Sciences. In this field, the application […]
LinkedIn — Daniel PereiraDaniel Pereira
Daniel Pereira is a Senior Manager at LTPlabs, a management consulting firm specialized in Business Analytics. Over the past seven years, he has participated in and led analytical transformation programs, particularly in Supply Chain and Marketing/Sales projects. In this context, he has collaborated on more than 40 projects with companies across various sectors, including Retail, […]
Gonçalo Figueira
I hold MSc and PhD degrees in Industrial Engineering and Management from FEUP. I am a Senior Researcher at the Centre for Industrial Engineering and Management from INESC TEC, and an Invited Professor at FEUP and other universities, where I have taught 7 different courses, across BSc, MSc and PhD levels. My expertise is in […]
INVESTMENT & TERMS
Prepare your application
Admission is subject to seat availability, so we recommend submitting your application as early as possible.
- early bird 5% discountUp to 1 month before the program starts€1,900 Save €100
- last call Standard feeUp to 1 week before the program starts€2,000 Subject to availability
Admissions Team
Meet the Admissions team
Get answers to your questions, assess how the program fits your development path, and learn about the application process, calendar, investment, and next steps.
supply chain analytics
The next edition starts on November 5. Your decision starts now.
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