Overview

This course is designed for procurement teams who want to understand AI in a practical, down-to-earth way. Instead of focusing on buzzwords, we look at how AI can genuinely help with day-to-day buying and sourcing - from improving efficiency and compliance, to supporting better decisions.

Throughout the course you’ll see real examples of how AI is already being used in procurement and get hands-on practice with writing prompts that produce useful, reliable results. We’ll also break down the data basics you need in place to get trustworthy outcomes from any AI tool. Finally, we’ll look ahead at the technologies on the horizon and discuss how AI is likely to change procurement roles and supply chains in the coming years.

Classroom

1 day

Virtual

2 x 3.5 Hours

Course Content

  • Understanding what AI really means for procurement - how it fits into the day-to-day work of a procurement team
  • How organizations are using AI right now – we explore how teams are using AI across a full range of use cases
  • Making procurement work more smoothly - explore how AI can help reduce the admin burden, make compliance less painful, and support clearer, faster decision-making
  • How to ask AI the right questions - we share simple, practical ways to give AI tools clearer instructions so you get better results without endless retries
  • Getting your data in good shape - good AI starts with good data. We’ll talk about what that means in real terms (clean data, consistent formats and sensible governance)
  • What’s coming next for procurement and supply chains - a practical view of how AI is likely to change the way procurement teams work

Learning Objectives

By the end of this course delegates will be able to:

  • Define AI, describe its core principles and how this applies to procurement/sourcing processes
  • Identify and categorize current applications of AI in buying and sourcing within organizations
  • Describe ways that AI can improve procurement efficiency, compliance and decision-making for better outcomes
  • Demonstrate how to write effective prompts or instructions for AI tools to achieve accurate results
  • Explain strategies for managing data quality and availability challenges in AI-driven procurement.
  • Describe best practices for ensuring data quality, governance and availability, to support reliable AI-driven procurement
  • Discuss potential future impacts of AI on procurement/sourcing roles and supply chain management, including emerging technologies