Artificial Intelligence for Procurement

Course schedule

Classroom Training:

Date	Venue	Duration	Price
6 - 10 Jul 2026	London	5 days	£4,995
21 - 25 Sep 2026	London	5 days	£4,995
18 - 22 May 2026	Riyadh	5 days	£4,995
15 - 19 Jun 2026	Dubai	5 days	£4,995
13 - 17 Jul 2026	Cape Town	5 days	£4,995
10 - 14 Aug 2026	Istanbul	5 days	£4,995
14 - 18 Sep 2026	Riyadh	5 days	£4,995
12 - 16 Oct 2026	Dubai	5 days	£4,995

Please note: prices shown above are exclusive of VAT (20%).

If you don’t see your preferred course date, please contact us.

Course Overview

Delegates learn how AI optimises manufacturing and supply chain performance. The course covers predictive maintenance, demand forecasting, and logistics automation. Participants examine the integration of machine learning in production systems. The programme enables professionals to enhance productivity, sustainability, and data-driven efficiency.

Who Should Attend

Procurement and contract professionals integrating AI tools to enhance sourcing and compliance efficiency. Past delegates have included:

Procurement Managers
Contract Analysts
Supply Chain Specialists
Data Managers
Commercial Advisors

Course Outcomes

Leverage AI tools for supplier evaluation, spend analytics, and contract management.
Automate procurement workflows using intelligent process automation (IPA).
Use predictive models for cost optimisation and demand planning.
Apply AI-driven insights for risk management in supply chains.
Promote ethical and sustainable procurement through data-driven decisions.

Course Topics

Introduction to Artificial Intelligence

Understand AI principles and types across industries.
Identify opportunities and challenges in AI adoption.
Evaluate emerging AI technologies and their impact.
Discuss the ethical, legal, and social implications of AI.

AI in Decision-Making

Apply AI insights for operational and strategic decisions.
Integrate predictive analytics to improve decision outcomes.
Use AI for scenario modelling and data interpretation.
Manage biases and transparency issues in algorithmic decisions.

Ethical AI and Governance

Implement frameworks for responsible and transparent AI use.
Identify ethical risks associated with automated decision systems.
Design governance models ensuring fairness and accountability.
Promote stakeholder confidence in ethical AI implementation.

AI for Procurement Optimisation

Use AI analytics for supplier evaluation and spend management.
Predict sourcing trends using automated procurement dashboards.
Improve transparency and value creation in contract management using AI.
Benchmark performance across supplier networks with AI insights.

Supplier Risk Management with AI

Develop AI-based models for vendor risk detection and scoring.
Integrate predictive analytics to monitor supplier resilience.
Design dashboards for real-time supplier performance insights.
Enhance procurement governance with data-driven risk visibility.

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