AI for Procurement

AI for Procurement

Introduction

Procurement is evolving from a transactional function into a strategic, data-driven business partner. Organisations today face increasing pressure to control costs, manage supplier risks, ensure compliance, support sustainability goals, and respond quickly to market volatility. Artificial Intelligence (AI) is becoming a key enabler in meeting these challenges.

AI technologies—particularly Machine Learning, Large Language Models (LLMs), and Generative AI—are transforming how procurement teams analyse spend, evaluate suppliers, manage contracts, forecast demand, and support negotiations. With modern AI tools, procurement professionals can now automate repetitive tasks, extract insights from large volumes of documents, and make more informed decisions.

This course provides a practical, business-focused introduction to AI for procurement professionals. Participants will learn AI fundamentals, understand how AI technologies interconnect, and gain hands-on experience with leading AI tools such as ChatGPT, Gemini, Copilot, Perplexity, Grok, Claude, Manus, DeepSeek, Qwen, and NotebookLM. The emphasis is on real procurement use cases, responsible AI usage, and measurable productivity and performance improvements, without requiring programming skills.

Who Should Attend - This course is designed for working professionals involved in procurement and sourcing, including:

Procurement and purchasing managers
Strategic sourcing professionals
Category managers
Contract and vendor management teams
Supply management and operations teams
Finance and compliance professionals involved in procurement
Digital transformation and process improvement teams
Procurement leaders and decision-makers

Level & Delivery

Beginner to Intermediate | No prior AI or technical background is required | No coding required.
Duration - 2 days | Mode In-house | Methodology - Instructor-led | Hands-on AI tools | Laptop or Tablet required.
Min 5 pax - Max 16 | Hit Get Proposal for an in-house quote.

Outcome

By the end of this course, participants will be able to:

- Understand core AI concepts and terminology relevant to procurement
- Distinguish between AI, Machine Learning, Deep Learning, LLMs, and Generative AI
- Evaluate and select AI tools suitable for procurement workflows
- Apply AI tools to spend analysis, supplier evaluation, contract management, and reporting
- Use AI responsibly within ethical, legal, and organisational constraints
- Identify high-impact AI use cases across the procurement lifecycle
- Contribute to AI adoption and digital transformation initiatives in procurement

Select to design your own content and request for a customized quotation

No	Topic	Topic Description
1	Understanding AI in Procurement	What Artificial Intelligence is and is not Relationship between: Artificial Intelligence Machine Learning Deep Learning Large Language Models Generative AI How AI systems learn from procurement and spend data Current AI applications in procurement: spend analysis and cost optimisation supplier risk assessment contract review and compliance demand forecasting and sourcing support Strengths and limitations of AI in procurement environments
2	AI Tools Landscape for Procurement Professionals	Overview of modern AI tools for procurement: ChatGPT, Gemini, Copilot, Claude Perplexity, Grok, Manus, DeepSeek, Qwen, NotebookLM Understanding differences in: document analysis vs data analysis reasoning quality and reliability data privacy, supplier confidentiality, and IP risks Selecting the right AI tool for: spend and sourcing analysis supplier communications policy and procedure documentation Prompt engineering fundamentals for procurement use cases Hands-On Activities Writing prompts for spend and supplier analysis Summarising RFQs, RFPs, and supplier proposals using AI Comparing outputs across multiple AI tools
3	AI for Spend Analysis and Cost Optimisation	AI-assisted spend classification and trend analysis Identifying cost-saving opportunities using AI Analysing supplier concentration and dependency risks AI-assisted procurement dashboards and reports Using AI with spreadsheets: Excel with Copilot Google Sheets with Gemini Hands-On Activities Generating spend insights from sample procurement data Drafting cost optimisation recommendations
4	Responsible AI, Ethics, and Compliance in Procurement	AI risks in procurement: biased supplier recommendations incorrect contract interpretations over-reliance on AI outputs Compliance, auditability, and traceability considerations Managing confidential supplier and pricing data Human-in-the-loop decision-making models Best practices for responsible AI usage in procurement
5	AI for Supplier Management and Risk Monitoring	AI concepts in supplier performance management Monitoring supplier risks using AI: financial health delivery performance compliance and ESG risks AI-assisted supplier scorecards and reporting Hands-On Activities Analysing supplier risk scenarios using AI Drafting supplier performance summaries
6	AI for Contract Management and Negotiation Support	AI-assisted contract review and clause analysis Identifying risks, obligations, and renewal triggers Using AI to support negotiation preparation Knowledge-based AI using internal contracts: NotebookLM and Manus Hands-On Activities Reviewing contract excerpts using AI Generating negotiation talking points
7	AI-Enabled Workflow Automation in Procurement	Designing AI-supported procurement workflows: requisition → sourcing → contract → supplier management Integrating AI tools into daily procurement operations Improving cycle time, visibility, and compliance Measuring productivity, savings, and risk reduction Exercise Designing an AI-supported procurement workflow
8	AI Strategy for Procurement Leaders and Decision-Makers	Identifying high-impact AI opportunities in procurement Build vs buy vs partner considerations Developing an AI adoption roadmap for procurement organisations Establishing AI governance, roles, and responsibilities Preparing procurement teams for AI-enabled ways of working Workshop Drafting a high-level AI strategy for a procurement function

Expert

Dr. Mohammed Muayad Abdulrazzaq

Dr. Mohammed Muayad Abdulrazzaq, fondly known as Dr. Obay is an accomplished AI Trainer, Academic Leader, TEDx Speaker, Industry Advisor, and Entrepreneur, internationally recognised for his contributions to Artificial Intelligence education, research, and innovation. Holding a Ph.D. in Artificial Intelligence and bringing over 20 years of experience across the information technology landscape, Dr. Obay’s expertise spans AI, Big Data Science, Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), and Immersive Technologies. As a certified and HRD Corp-accredited trainer, Dr. Obay has trained more than 5,000 professionals, students, and business leaders through highly practical and results- driven programs in Data Science, AI Engineering, Generative AI, and LLMs. His workshops are widely praised for their clarity, relevance, and ability to translate complex AI concepts into real-world business impact. Recently, Dr. Obay was honoured to begin a new chapter as an Industry Advisor at ICMS, contributing to advanced programs and professional certifications in Generative AI, Large Language Models, Google AI & Machine Learning, and Microsoft Azure AI. His advisory role bridges academia and industry by empowering future-ready talent and organisations to thrive in the era of intelligent automation. Recognised for his excellence in AI education and leadership, Dr. Obay serves as an ELITE Fellow at the University of Malaya (UM) — Malaysia’s top-ranked university — and as an Adjunct Associate Professor at Taylor’s University, where he supervises Ph.D. and Master’s students at Taylor’s University and the International Islamic University Malaysia (IIUM). His academic work focuses on applying AI to solve real- world problems while shaping the next generation of innovators. An entrepreneur at heart, he is the Founder of Artificial Intelligence & Coding for All (AIC4ALL) — a global learning platform that equips learners of all ages with essential skills in AI, coding, and data science for IR 4.0 & IR 5.0. He also leads INNOEYETIVE, a digital innovation agency leveraging AI, Big Data, and Immersive Tech to accelerate digital transformation. As a TEDx and international speaker, Dr. Obay has delivered impactful talks and keynotes that demystify AI, inspire innovation, and promote ethical adoption of emerging technologies. His lifelong mission is simple yet powerful — to empower professionals, educators, and leaders worldwide to harness the transformative power of AI for a better, smarter future.