Supply Chain Management: AI, Optimisation & Resilience

Supply chain management is no longer just about moving products efficiently. Modern supply chains must balance cost, service, risk, resilience, data, technology, and increasingly AI.

This course gives you a practical understanding of how modern supply chains are designed, analysed, optimised, and managed — from demand forecasting and inventory to resilience, risk, network optimisation, data analytics, and AI.

You will learn how to:

• Understand the strategic foundations of modern supply chain management

• Design more resilient, agile, and responsive supply chains

• Apply demand forecasting and planning principles

• Use data to support supply chain analysis and decision-making

• Manage inventory while balancing cost, availability, and service

• Assess supply chain risks and prepare for disruption

• Apply root cause analysis and scenario planning

• Understand supplier management and logistics network optimisation

• Use optimisation techniques such as linear programming and cost-benefit analysis

• Understand how AI and emerging technologies are changing supply chain management

• Apply AI to supply chain optimisation, visibility, analytics, and decision-making

• Use KPIs and performance measurement to support continuous improvement

• Understand how supply chain roles and required skills are changing as AI becomes part of everyday work

The course combines strategic concepts, practical frameworks, demonstrations, and real-world applications. You do not need to be a data scientist or AI specialist. The focus is on understanding how these tools and approaches can support better supply chain decisions.

What makes this course different?

It goes beyond individual supply chain functions or isolated tools.

You will develop a broader understanding of how strategy, data, optimisation, resilience, technology, and human judgement fit together in modern supply chain management.

The course also addresses a question that increasingly matters to supply chain professionals:

How is AI changing your work — and which skills will continue to matter?

The final section examines how AI is changing roles, decision-making, communication, and professional value, helping you think about how to remain effective and relevant as the nature of work changes.

Whether you work in supply chain, logistics, procurement, operations, planning, analytics, or management — or are preparing for a career in these areas — this course provides a structured foundation for understanding and navigating the modern supply chain.

Course Author

Alex Amoroso, PhD

Senior UX Researcher | Research, Product & Learning Design

Alex Amoroso is a researcher, educator, and course designer with more than 10 years of professional experience in UX and product research, behavioural research, and complex problem-solving, alongside extensive experience in professional and academic education.

Her work focuses on a simple question: what is actually going on, what evidence do we have, and what should we do with it?

Across research, product, and organisational environments, she has worked on complex problems involving user behaviour, digital products, analytics, customer experience, decision-making, and innovation. Her research has included studies with thousands of users across B2B and B2C environments, combining qualitative and quantitative methods to investigate problems, challenge assumptions, interpret evidence, and support better decisions.

Alongside her professional research work, Alex teaches doctoral-level research design and methodologies, supervises and assesses research projects, and has developed approximately 30 online courses across research, UX, product, data, analytics, customer experience, business, and decision-making. Selected courses are also available through Udemy Business.

Her approach to teaching is practical and structured: clarify the subject, organise the thinking, distinguish evidence from assumption, and turn complex information into knowledge that can be applied.

She holds a PhD in Health Anthropology, with research focused on human behaviour, environmental stress, and quantitative data analysis, and has published research in peer-reviewed journals.

Across her courses, she combines:

• Research-based thinking

• Practical frameworks and methods

• Real-world examples and applications

• Clear explanations of complex subjects

• Exercises, tools, and techniques that support practical learning

Her goal is simple: to help learners understand complex subjects, think more clearly, and apply what they learn in real professional situations.

Welcome to MTF:

The MTF Institute of Management, Technology & Finance is an international institute of practical education headquartered in Lisbon, Portugal. Guided by the motto 'SCIENTIA ET PRACTICA' ('Knowledge and Practice'), the institute focuses on applied skills at the intersection of business, IT, finance, artificial intelligence, and digital transformation. Today, MTF brings together over 1.04 million learners across 220 countries and territories, serves as an official partner of IBM, Intel, and Microsoft, and is a member of the Portuguese Chamber of Commerce and Industry and the Union of Trade and Services Associations of Lisbon.

The MTF Institute School of Professional & Continuing Education profile represents a specialized course track and has distinct differences from the primary account and official learning platform of the institute. Education within this track is offered in the format of specific learning editions, where completed programs are recognized exclusively through the Udemy platform certificate. This format does not provide original certificates or official documents from MTF Institute itself, nor does it include student ID cards, academic credit, or enrollment in official MTF credential programs. However, despite the academic limitations of this format, all offered courses maintain a strong practical focus and high relevance, equipping learners with up-to-date knowledge and practical tools to address real-world professional challenges.