Agentic AI for Supply Chain Management
This intensive 1-day programme is the advanced capstone of the Gen AI in SCM series. Supply chain teams
spend significant time reacting to disruptions, shortages, supplier delays, demand changes, and planning
exceptions. This intensive programme shows participants how Agentic AI can continuously monitor these
signals, recommend actions, and automate routine decision workflows while maintaining human oversight.
Through realistic manufacturing and supply chain scenarios, participants will design and build agents that
support procurement, inventory management, production planning, logistics coordination, and supplier
management — with human oversight built in throughout.
Through live demonstrations, the 7-Component Agent Design Canvas, and a hands-on build sprint, you
will design and prototype your first SCM agent using no-code tools. The day culminates in a team pitch
presenting a real agent business case to a simulated leadership panel.
PROGRAMME MODULES
Module 1 – From Gen AI to Agentic AI
Understand what makes an agent autonomous. Map the AI maturity arc from assistant to autonomous actor and explore real SCM agent case studies.
Module 2 – High-Impact Manufacturing & Supply Chain Use Cases
Explore proven Agentic AI applications to identify your organisation’s highest-value agentic opportunities across the supply chain.
Module 3 – 7-Component Design Canvas
Design your first SCM agent using a proven canvas covering goal, trigger, data sources, reasoning, actions, guardrails, and review loop.
Module 4 – Build Sprint: Prototype Your Agent
Design and build one supply chain agent in your choice of domains on Procurement, Inventory, Warehouse & Logistics, or Production Planning, with defined KPIs to improve and exception-monitoring capabilities to drive proactive decisions.
Capstone – Leadership Pitch & Business Case
Present your agent concept to a simulated leadership panel with a structured business case, ROI calculation, and governance risk plan.
AI & AUTOMATION TOOLS
Claude / ChatGPT – AI reasoning engine & agent brain
n8n / Make.com – No-code workflow & agent builder
Google Sheets – Live SCM data source for agents
Gemini or Co-pilot
WHAT YOU TAKE AWAY
Every participant leaves with:
- A completed business case linked to specific manufacturing or supply chain KPIs.
- A working agent prototype you built and tested during the day.
- A practical governance framework for responsible SCM agent deployment.
- Peer network of SCM professionals actively applying agentic AI in their organisations.
YOUR GEN AI IN SCM LEARNING SERIES
Stage 1 & 2 – 3-Day Programme
Gen AI as Individual Productivity
Master prompting, document analysis, and AI-assisted decision-making for day-to-day SCM tasks.
Collaborative AI for Teams
Build shared AI workflows, team prompting conventions, and collaborative agent-ready processes. (See our consultant for the course.)
Stage 3 – This Programme
Agentic AI/AI Agent – You are here
Deploy autonomous SCM agents that monitor business signals, reason through decisions, and act with built-in human oversight. The capstone of the full series.
READY TO DEPLOY YOUR FIRST SCM AGENT?
This programme is available as an open cohort or as a tailored in-house delivery for your organisation.
Contact us to discuss scheduling, group rates, and bespoke content customisation.
Applicants must be 25 years old or above, and meet at least one of the following criteria:
• Logistician with at least 2 years of experience interested in learning about aligning logistic resources with business priorities or
• Early and mid-career professionals with at least 3 years of experience in any discipline who supervise the work of others, or
• Logistics Solutions Professional, Warehouse Operations Manager, Transportation Operations Professional with more than 2 years of supervisory experience in any logistics discipline and who are in charge of reporting logistic performance to align with company strategies or
• Professionals with at least 3 years of working experience and a Diploma who want to work in logistics, warehouse operations, or transportation operations.
And, the applicants must
• Have an understanding of the organization’s structure, standard operating procedures and guidelines
• Able to communicate effective verbal and written communication
1. All notice of transfer/withdrawal / deferment must be given in writing and submitted at least 2 weeks prior to course commencement.
2. An administrative fee of $60 (GST inclusive) will be imposed if notice is received less than 2 weeks.
3. If notice of withdrawal is received:
– At least 1 week before commencement of the course, a 20% of the full course fee will be charged. For government-funded course, a 20% of full course fee before funding will be charged.
– Less than 1 week before commencement of the course, a 30% of the full course fee will be charged. For government-funded course, a 30% of full course fee before funding will be charged.
– No show on the scheduled date, a full course fee will be levied. For government-funded course, a full course fee before funding will be charged.
4. For all government-funded programmes (WSQ & Non-WSQ), funding is only applicable to:
– Singapore Citizens or Singapore Permanent Residents.
– Participants who have achieved at least 75% attendance and passed all required assessments.
– Full course fee will be charged to participants who fail to meet the above-mentioned criteria.
5. Certificates or Statement of Attainment or Certificate of Attendance will only be issued to participants who have achieved 75% attendance and undergo assessment (if applicable).
6.When a course is cancelled, fails to commence or fails to complete under unforeseen circumstances, participant is allowed to defer the intake at no cost or withdraw from the course; under such situation, a full refund of the advance payment will be given.
7. Notice of change in participant’s name must be given in writing, 1no less than 5 days prior to course commencement.
8. SMF reserves the right to change the venue, cancel or postpone the event without prior notice and full refund will be given under such circumstances. Such modifications shall become effective immediately upon the posting thereof. Please approach your account manager for more queries.
9. SMF Centre for Corporate Learning Pte Ltd has a Data Protection Policy which provides more information about how we collect, use and disclose your personal data. Please click the link below to know more.
https://smfccl.sg/privacy/
1. The candidate has the right to disagree with the assessment decision made by the assessor.
2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
6. If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
8. The candidate must lodge the appeal within 7 days, giving reasons for appeal together with the appeal fee of $109.00 (inclusive of 9% GST).
9. The assessor can help the candidate with writing and lodging the appeal.
10. The assessment manager will collect information from the candidate & assessor and give a final decision.
11. A record of the appeal and any subsequent actions and findings will be made.
12. An Assessment Appeal Panel will be formed to review and give a decision.
13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
15. Please click the link below to fill up the Candidates Appeal Form.
