AI-Driven Supply Chain and Operations Management Programme
- Learn AI for Innovation, Resilience and Sustainable Growth
- Live Online Sessions by NUS Faculty and Industry Experts
- Certification from Asia’s Leading Business School
- One-Week Capstone Project, Real-World Case Studies and Hands-On Exercises
The Need for AI-Driven Supply Chain Leader
Across the world and in the Asia-Pacific region, supply chains are undergoing a seismic shift. AI is powering demand forecasting, inventory optimisation, supplier risk management and last-mile delivery, bringing unprecedented efficiency and agility to organisations. As technology advances, so do the opportunities for professionals to lead this transformation. Organisations are seeking talent that can seamlessly integrate digitalisation, analytics and AI-driven strategies into the supply chain operations and those equipped with these skills are in high demand.
The AI-Driven Supply Chain and Operations Management Programme by NUS Business School aims to develop professionals who can lead in the era of digital transformation and artificial intelligence. With renowned NUS faculty bringing strong industry connections and deep expertise across business and technology, the programme delivers a well-rounded, real-world learning experience. The programme blends core supply chain principles with advanced tools such as artificial intelligence, analytics, the Internet of Things, blockchain and automation. Participants will gain practical skills in forecasting, inventory management, procurement, risk management and sustainable operations through case studies, simulation-based modules and a one-week capstone project. By the end of the programme, learners will be equipped to drive future-ready, agile and sustainable supply chains, positioning themselves as in-demand professionals in Singapore, the Asia Pacific region and the global marketplace.
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USD 10.29 billion
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About NUS Business School
For more than 50 years, NUS Business School has offered a rigorous, relevant and rewarding business education to outstanding students from across the world.
Founded in the same year that Singapore gained independence, NUS Business School stands today among the world’s leading business schools. It is distinctive for offering the best of global business knowledge with deep Asian insights, preparing students to lead Asian businesses to international success and to help global businesses succeed in Asia.
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Programme Highlights
NUS is actively collaborating with industry leaders to provide advanced research and training in AI-powered supply chains. This 16 weeks certificate programme cultivates the next generation of supply chain and operations professionals who can harness AI to drive innovation, resilience and sustainable growth across the world and in the Asia-Pacific region. Here’s what you can expect:
Modules on AI and generative AI Understand the practical application of AI and gen AI.
Hands-On learning
Explore mini projects, simulation-based curriculum, practical models and frameworks.
Capstone project
Apply your learning in real-world scenarios through a one-week capstone project.
Real-world case studies
Engage in case study discussions for industry-driven supply chain strategies.
Faculty-led live sessions
Gain cutting-edge insights from NUS Business School faculty and industry experts.
Self-paced learning
Pre-recorded lectures for learning at your own pace.
Growing domain
AI-Driven strategies and emerging trends.
Certificate of completion
Earn a certificate from one of Asia’s top-ranked institute.
What Will You Gain
The modules are designed to help you connect the dots between business, operations and technology. With a strong focus on practical applications, you will learn to apply data-driven strategies to real-world challenges. Simulation-based modules, industry case studies and project work emphasise not only operational excellence but also sustainability and ethical practices aligned with global and APAC priorities.
The programme empowers you to:
Develop strategic supply chain expertise
Learn to design and manage end-to-end supply chain strategies that align with business goals, drive value and enhance competitiveness in a digital-first economy.
Leverage AI and analytics
Gain experience with AI, machine learning and analytics to improve forecasting, inventory management, pricing strategies and supply chain visibility.
Drive digital supply chain transformation
Lead the integration of emerging technologies such as IoT, robotics, blockchain and automation to build agile, intelligent and resilient operations.
Enhance procurement and supplier management
Use digital procurement platforms and data-driven insights to strengthen supplier relationships, manage risks and ensure ethical sourcing.
Build resilient and sustainable supply chains
Develop capabilities to manage uncertainty, drive circular economic initiatives and implement green and ethical practices across global supply chains.
Is This Programme for You?
This programme is designed for ambitious professionals ready to step into strategic leadership.
Mid to Senior Executives across industries who oversee procurement, inventory, and efficiency. Gain new expertise in AI, analytics, and transformation.
Senior Professionals who are ready to manage enterprise-wide strategy. Master sustainability, emerging tech, and global frameworks to shape resilient supply chains.
Programme Modules
Fundamentals of operations in manufacturing and services
Process and systems view of the organisation
Product process matrix, process analysis
Digital transformation: opportunities and challenges
Supply chain planning, concepts, processes, and bottlenecks
Evaluating supply chain network strategy: capacity, technology
Translating supply chain decisions into financial terms
Demand forecasting and capacity planning
Supply chain structure design and framework
Aligning the supply chain with the organisation's goal and finance
The digitalisation of supply chain: insights and outlook
Internet of Things (IoT): sensors and actuators in the supply chain
Robotics and automation
Industry 4.0 and its role in the evolution of digital supply chains
Blockchain and supply chain transparency
Statistics for managers
Descriptive, predictive and prescriptive analytics
Data visualisation and interpretation
Decision tree and simulations
Multi-criteria decision making (MCDM)
Introduction to AI and ML in supply chain
Applications of AI and ML in the APAC supply chain landscape
Predictive demand forecasting using ML
Dynamic pricing strategies with AI
AI-driven supply chain visibility and risk management
Implementing AI and ML solutions: successful integration and challenges
Real-time tracking and monitoring
Inventory management: economic order quantity models, single period inventory models, etc.
Inventory optimisation with digital tools, including AI
Mini project/simulation on inventory optimisation
Designing for flexibility and responsiveness
Case study: Food from the Heart
E-procurement systems
Supplier collaboration platforms
Risk management in procurement
Smart warehousing technologies
Automation in distribution centers (including AI)
Last-mile delivery solutions
Examine digital supply chain solutions for modern manufacturing and services
Logistics and routing challenges in services
Gain insights into why digital supply chain strategies fail
Future-ready strategies for creating a flexible, agile, and resilient supply chain ecosystem for competitive advantage
Simulation and modelling in supply chain and logistics management/plan
Distribution strategies
Global logistics and risk management
Warehouse and inventory optimisation
Optimising supply chain roles and relationships
Digital trends in global supply chain management
Cash-to-cash cycle and working capital
Cost-to-serve modelling
Inventory valuation and financial reporting
Financial trade-offs in supply chain design
Supply chain finance metrics and dashboards
Scope 3 emissions and supply chain footprint
Carbon accounting and regulatory pressures
Sustainable sourcing challenges
Circular supply chain principles
Case study: ship breaking
Green supply chain practices
Ethical sourcing and fair trade
Circular economy in operations
Generative AI for intelligent supply chain design
Autonomous supply chain: AI + edge + robotics
Responsible and transparent AI in global supply chains
Supply chain interoperability with AI agents and LLMs
Project-based training in operations/supply chain innovation and solutioning
*The curriculum content is subject to change.
Capstone Project
Apply your learning to solve real-world business challenges in a one-week intensive capstone project designed to simulate executive-level decision-making.
Models and Frameworks
Economic order quantity (EOQ)
Always better control (ABC) analysis
Multi-criteria decision making (MCDM)
Productivity metrics
Cost-to-serve
Case study
Food from the Heart
Designing for flexibility and responsiveness: Explore how food from the heart tackled the challenge of balancing fluctuating food donations with consistent demand through flexible process design and technology integration. The case highlights how digital tools can enhance responsiveness, reduce waste, and build resilience in uncertain supply chain environments.
Indonesia’s free meal programme
Designing flexibility at scale:
Explore how Indonesia’s nationwide free meal programme tackled large-scale logistical challenges through flexible and responsive supply chain design. This case highlights how adaptive networks, dynamic allocation, and data-driven decision-making can enhance agility and ensure efficient delivery in complex, uncertain environments.
Ship Breaking
The Hidden Cost of Recycling:
Uncover the hidden environmental and human costs behind the global ship-breaking industry, where sustainability goals collide with ethical realities. This case challenges learners to examine circular supply chains, regulatory gaps, and governance choices that determine whether recycling practices truly support responsible and resilient operations.
The Pick! Network
Reinventing Last-Mile Delivery in Singapore:
Explore how Singapore’s pick network transformed last-mile delivery through a government-led, federated locker system that integrates technology, data, and smart design. This case highlights how automation, data-driven scheduling, and public-private collaboration can enhance efficiency, sustainability, and customer experience in urban distribution networks.
Faculty & Experts
At NUS, you engage with faculty who are pioneers in shaping the future of operations, supply chains and AI-driven business solutions. Our expert combines rigorous research with real-world experience, helping you turn data, analytics and emerging technologies into actionable strategies. Through close interaction, you gain insights that prepare you to lead intelligent, resilient and sustainable supply chains globally.
Associate Professor Analytics and Operations, NUS Business School
Specialist in Operations Management, Decision Sciences and Supply Chain Optimisation. With experience spanning scheduling optimisation, maritime logistics and AI-enabled analy...
Certification
Upon successful completion, you’ll receive a verified digital certificate from NUS Business School, globally recognised for excellence in management and technology education.
Emeritus Career Services
Stepping into a business leadership career requires a variety of job-ready skills. Below given services are provided by Emeritus, our learning collaborator for this program. The primary goal is to give you the skills needed to succeed in your career; however, job placement is not guaranteed. Emeritus provides the following career preparation services:
Resume building videos
Interview preparation videos
Linkedln profile building videos
Interview guidebooks
Glossary of resume templates
Please note: NUS or Emeritus do not promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. NUS is not involved in any way and makes no commitments regarding the Career Services mentioned here
The Learning Experience
What is it like to learn with the learning collaborator, Emeritus?
More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner during the course period the cost of which is already included in the overall Course fee of the course.
A dedicated program support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.
FAQs
Yes, Live sessions by the industry experts and NUS faculty. Apart from this, the remaining lectures would be high-quality pre-recorded sessions to give flexible learning, given the time constraints of working professionals.
Assignments will be graded by industry practitioners who are available to support participants in their learning journey and/or by the Emeritus grading team.
An assignment that is not submitted by the due date is late. Late assignments will be accepted until one week after the programme end date, which is published on the programme homepage.
Live sessions by seasoned industry professionals who have real-world session experience in the domain. Doubt-clearing sessions are carried out by the programme leaders, as they monitor individual student progress.
This course is designed with some of the best faculty and to cover relevant topics in a manner that creates positive career outcomes. As an additional service, we provide resume writing guidance, navigating the job search and interview prep, along with this course. However, we do not offer placement services with our courses.
We encourage learners to complete the course to fully understand the concepts and derive valuable learning outcomes. However, if you still choose to withdraw, you may request a full refund within 7 days of payment or 14 days after course commencement — whichever comes later. After this period, the course fee becomes non-refundable.
Upon successful completion of the programme, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools or potential employers. You can use it on your cover letter, resume and/or display it on your LinkedIn profile. The digital certificate will be sent approximately two weeks after the programme, once grading is complete.
You will have access to the online learning platform and all the videos and programme materials for 12 months following the programme start date. Access to the learning platform is restricted to registered participants per the terms of the agreement.
No, this programme is not eligible for SFC (SkillsFuture credit) because our programmes are curated as per global market research, which caters to global participation.