Course Introduction
Course Introduction
AI-Powered Supply Chains: A One-Day Masterclass for Logistics & Operations Professionals
Driven by Singapore's Next Generation Port 2030 roadmaps and advanced digital frameworks, this intensive one-day masterclass equips logistics and operations professionals to master Supply Chain Solutioning by critically analyzing legacy processes and developing innovative operating models and solutions for customers. Bridging advanced generative AI frameworks with ground-level logistics realities, the course explicitly covers how to orchestrate Claude AI as a tactical copilot to address evolving supply chain needs, optimize inventory levels, accelerate delivery time, and drive strategic cost savings. Participants will evaluate real-world regional infrastructure shifts—such as Tuas Mega Port's automation rollouts and PSA's control tower systems—leveraging IMDA's AI governance frameworks to ensure compliant, human-in-the-loop oversight. Through hands-on prompt engineering and an immersive Singapore-centric live mini-case study, attendees will actively transform legacy operations into resilient, high-performing solution models ready for immediate enterprise deployment.
What You Will Achieve
By the end of this course, you will be able to:
- LO1: Analyse legacy supply chain operating models against changing customer needs by differentiating generative AI capabilities from predictive AI/ML tools within the APAC/Singapore logistics ecosystem
- LO2: Apply Claude AI as a digital copilot using structured prompt-engineering frameworks to model strategic solutions that optimize inventory management levels
- LO3: Evaluate AI-generated logistical solutions through a human-in-the-loop lens to accelerate delivery time and achieve operational cost saving while maintaining regulatory compliance
- LO4: Develop an actionable, risk-mitigated generative AI deployment plan to modernize existing supply chain operating models within defined corporate constraints
Who Should Attend
This one-day masterclass is for logistics and operations professionals who want to use generative AI, with Claude AI as a digital copilot, to modernize existing supply chain operating models.
- Logistics professionals
- Operations professionals
- Supply chain professionals
- Professionals with working knowledge of retail operations, logistics and/or goods movement
Our course is conducted in a classroom setting, providing an interactive and engaging learning experience.
Course Outline
Course Outline
What You Will Achieve
By the end of this course, you will be able to:
- LO1: Analyse legacy supply chain operating models against changing customer needs by differentiating generative AI capabilities from predictive AI/ML tools within the APAC/Singapore logistics ecosystem
- LO2: Apply Claude AI as a digital copilot using structured prompt-engineering frameworks to model strategic solutions that optimize inventory management levels
- LO3: Evaluate AI-generated logistical solutions through a human-in-the-loop lens to accelerate delivery time and achieve operational cost saving while maintaining regulatory compliance
- LO4: Develop an actionable, risk-mitigated generative AI deployment plan to modernize existing supply chain operating models within defined corporate constraints
Learning Unit 1: Legacy Models, Changing Customer Needs and the APAC/Singapore Logistics Ecosystem
- Analyse legacy supply chain operating models against changing customer needs
- Differentiate generative AI capabilities from predictive AI/ML tools
- Regional infrastructure shifts, including Tuas Mega Port automation rollouts and PSA control tower systems
Learning Unit 2: Claude AI as a Digital Copilot for Inventory Optimisation
- Orchestrate Claude AI as a tactical copilot for evolving supply chain needs
- Structured prompt-engineering frameworks for supply chain solutioning
- Model strategic solutions that optimize inventory management levels
- Hands-on prompt engineering with a Singapore-centric live mini-case study
Learning Unit 3: Human-in-the-Loop Evaluation, Delivery Time and Cost Saving
- Evaluate AI-generated logistical solutions through a human-in-the-loop lens
- Accelerate delivery time and achieve operational cost saving
- Maintain regulatory compliance, leveraging IMDA AI governance frameworks
Learning Unit 4: Risk-Mitigated Generative AI Deployment Plan
- Develop an actionable, risk-mitigated generative AI deployment plan
- Modernize existing supply chain operating models within defined corporate constraints
- Transform legacy operations into resilient, high-performing solution models ready for immediate enterprise deployment
Requirements
Requirements
- Secondary or equivalent education in relation to literacy and numeracy levels.
- At least 1 year working experience in any sector.
- Working knowledge about retail operations, logistics, and/or goods movement.
FAQs
FAQs
Who should attend this masterclass?
Logistics and operations professionals with working knowledge of retail operations, logistics and/or goods movement, who want to apply generative AI to modernize supply chain operating models.
How long is the course?
This is a one-day masterclass of 8 training hours, conducted in English.
What will I learn to do with Claude AI?
You will learn to use Claude AI as a digital copilot with structured prompt-engineering frameworks to model solutions that optimize inventory levels, evaluate them through a human-in-the-loop lens, and develop a risk-mitigated deployment plan.
Is this course eligible for SkillsFuture Credit?
Yes. The course is listed on MySkillsFuture as eligible for SkillsFuture Credit under reference TGS-2026066926 by Cantley LifeCare Pte Ltd. See the course fee panel for the full fee and subsidised amounts.
