(24hrs) AI Smart Inventory: Predictive Analytics & Optimisation

3-Day AI-Powered Inventory Management Course: Use AI to improve forecasting, streamline processes, and enhance decision-making.

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Up to 70% SkillsFuture Singapore Funding Diagram - SkillsFuture Credit, PSEA & UTAP Claimable

Course Description

In an era of global logistics volatility and rising operational overheads, traditional manual inventory management is no longer sustainable for Singaporean enterprises. This three-day intensive program transitions teams from reactive “firefighting” to proactive orchestration. Moving beyond basic chatbots, participants will leverage Generative AI tools like ChatGPT, Microsoft Copilot, and DeepSeek as a “Digital Chief of Staff” to automate complex workflows and recover lost man-hours.

The curriculum masters “Semantic Data Harmonization” to instantly reconcile disparate regional datasets and “Predictive Dynamics” to mitigate risks like port congestion or freight hikes. Professionals will learn to conduct AI-powered supplier audits, role-play high-stakes negotiations to protect margins, and ensure full compliance with the Singapore Green Plan 2030 and PDPA. These modules bridge the gap between raw inventory data and strategic executive narratives.

The program culminates in the creation of a “Collective Intelligence Loop” and a customized 90-day implementation roadmap. By building a Master Prompt Library and specialized AI “Analysts” trained on company-specific SOPs, organizations can institutionalize AI gains. This ensures long-term resilience, capital efficiency, and a sustainable competitive advantage in the interconnected ASEAN market.

Prerequisites

1 GCE ‘O’ level or equivalent (≥ 21 years old); or  
NITEC/Higher NITEC (≥ 21 years old); or  
Mature candidates (≥ 30 years old with 8 years of work experience); or
Candidates with other qualifications will be considered on a case-by-case basis
Experience with inventory and operations: Minimal one year of work experience with knowledge of inventory management.

Course Objectives

By the end of this course, you should be able to:

Master AI Prompt Engineering to automate data reconciliation and eliminate manual “spreadsheet fatigue” across regional supply chains.
Implement Predictive Dynamics to forecast demand and mitigate the impact of global port congestion and freight volatility on local stock levels.
Enhance Procurement Outcomes through AI-powered risk scorecards and data-backed negotiation strategies to protect profit margins.
Operationalize Sustainable Logistics by optimizing delivery sequences and verifying supplier claims in alignment with the Singapore Green Plan 2030.
Scale Organizational Intelligence by building secure AI governance frameworks and a 90-day implementation roadmap to institutionalize AI workflows.

Course Outline

Learning Unit 1: Operational Efficiency & Data Automation

Topic 1: The Digital Force Multiplier – Induction into the AI “Chief of Staff” model
Topic 2: Ending “Spreadsheet Fatigue” – Intelligent data cleaning and reconciliation
Topic 3: The “Set-and-Forget” Procurement Office – Building autonomous workflows for POs and notifications
Topic 4: Precision Logistics Orchestration – Optimizing last-mile delivery and routing sequences

Learning Unit 2: Predictive Intelligence & Risk Resilience

Topic 5: The Risk-Proof Supply Chain – Predictive foresight for demand and safety stock
Topic 6: Intelligent Partner Scoring – Evaluating hidden costs and supplier reliability
Topic 7: 360° Supplier Intelligence – Identifying early warning signs and regional risks
Topic 8: The Data-Backed Negotiator – Leveraging market benchmarks to protect profit margins

Learning Unit 3: Governance, Compliance & Strategic Value

Topic 9: Bulletproof Contract Review – Instant risk detection and PDPA compliance
Topic 10: The Green Growth Advantage – Automating ESG reporting for the Singapore Green Plan 2030
Topic 11: Executive-Ready Strategic Narratives – Translating data into persuasive stories for management
Topic 12: The Secure AI Framework – Safeguarding IP and implementing data masking

Learning Unit 4: Operational Excellence & Value Scaling

Topic 13: Your In-House AI Specialist – Building custom agents trained on company SOPs
Topic 14: Collective Team Intelligence – Creating a “Gold Standard” shared prompt library
Topic 15: The 90-Day Transformation Roadmap – Executing the strategic plan for full-scale integration

Fees and Subsidies

*Eligible for Singaporean Citizens, Permanent Residents, and Long-Term Visit Pass Plus Holders

Course Fee:
S$1,250.00 (before subsidy and GST)

Course Fee After Eligible Subsidies:
From S$158.75 (inclusive of 9% GST) after 90% SkillsFuture Funding

Learners

Singaporean Citizens ≥ 40 years old

S$158.75 (after SSG 90% Funding)

SkillsFuture Credits can be used on top of existing subsidies

Singaporean Citizens, PRs or LTVP+ Holders ≥ 21 years old

S$408.75 (after SSG 70% Funding)

For Singapore Citizens learners aged ≥ 25 years old SkillsFuture Credits can be used on top of existing subsidies.

For Singapore Citizens aged 17-30 Post Secondary Education Account Funds can be used.

Learners	SMEs	Non-SMEs
Singaporean Citizens ≥ 40 years old	S$158.75 (after SSG 90% Funding) SkillsFuture Enterprise Credits (SFEC) can be used on top of existing subsidies	S$158.75 (after SSG 90% Funding) SkillsFuture Enterprise Credits (SFEC) can be used on top of existing subsidies
Singaporean Citizens, PRs or LTVP+ Holders ≥ 21 years old		S$408.75 (after SSG 70% Funding) SkillsFuture Enterprise Credits (SFEC) can be used on top of existing subsidies