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Quest Training

AI in Procurement & Supply Chain Management Training Course

Explains how machine learning, predictive analytics, NLP and generative AI can improve decisions, efficiency and resilience in procurement and supply chains.

DPS · Digital Procurement & Supply Chain TechnologyAll Levels#2196ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Sectors:Procurement, Contracts & Supply ChainCategories:Digital Procurement & Supply Chain Technology

Course Overview

The AI in Procurement & Supply Chain Management Training Course equips procurement, supply chain, and operations professionals with a clear, practical understanding of how artificial intelligence can improve decision making, efficiency, resilience, and value across the procurement and supply chain lifecycle. Government entities, ministries, banks, oil and gas companies, and large corporations manage complex supplier networks, large volumes of transactions and contracts, and supply chains exposed to disruption, price volatility, and regulatory scrutiny. AI technologies, including machine learning, predictive analytics, natural language processing, and generative AI, are creating new opportunities to analyze data, anticipate risks, and automate routine work. At the same time, many organizations struggle to move from interest in AI to real results. Common barriers include unclear use cases, poor data quality, fragmented systems, unrealistic expectations, limited internal skills, and uncertainty about governance, accountability, and compliance. In public sector and regulated environments, questions of transparency, fairness, data protection, and human oversight are especially important. Adopting AI successfully requires a structured approach that connects business problems, data, technology, people, and responsible governance. This course provides that structured approach without requiring a technical background. Participants learn the core AI concepts relevant to procurement and supply chain, then explore practical applications including spend classification and analytics, demand forecasting and inventory optimization, supplier risk monitoring, contract analysis, bid and tender evaluation support, invoice and transaction automation, logistics optimization, and AI assistants for procurement users. The program also covers data readiness, selecting and evaluating AI solutions, running pilots, building a business case, responsible AI principles, regulatory and ethical considerations, cybersecurity, change management, workforce skills, and measuring value. Throughout the five days, participants apply each concept to their own procurement or supply chain operations. They leave with a prioritized AI use case portfolio, a data readiness assessment, a responsible AI checklist, an AI pilot design, a value measurement framework, and an AI adoption roadmap for their function.

Learning Objectives

  • Analyze core artificial intelligence concepts, including machine learning, predictive analytics, natural language processing, and generative AI, and their relevance to procurement and supply chain on Day 1.
  • Evaluate the current level of data, systems, and analytical maturity in the participant's procurement or supply chain function.
  • Identify and assess high-value AI use cases across sourcing, contracting, purchasing, inventory, logistics, and supplier management.
  • Apply AI-enabled spend analytics and classification approaches to improve spend visibility and identify savings opportunities.
  • Assess AI applications for demand forecasting, inventory optimization, and replenishment planning.
  • Evaluate AI tools for supplier risk monitoring, supplier performance analysis, and early warning of supply disruption.
  • Assess the use of natural language processing and generative AI for contract analysis, tender document review, and procurement assistance, including their limitations.
  • Develop a data readiness plan covering data sources, quality, governance, and integration requirements for AI initiatives.
  • Apply responsible AI principles, including transparency, fairness, accountability, data protection, and human oversight, to procurement and supply chain decisions.
  • Design an AI pilot with clear objectives, success criteria, data requirements, risks, and evaluation methods.
  • Develop a business case and value measurement framework for AI initiatives using relevant procurement and supply chain KPIs.
  • Design an AI adoption roadmap for the participant's function by the end of Day 5.

Who Should Attend

This course is designed for procurement and supply chain directors, heads of procurement, category managers, sourcing specialists, contracts managers, supply chain planners, inventory and warehouse managers, and logistics managers who want to understand and apply AI in their operations. It is also highly relevant for procurement excellence teams, supply chain analysts, and digital transformation professionals leading technology initiatives in procurement and operations. It is particularly valuable for professionals in ministries and government entities modernizing public procurement and supply management while maintaining transparency, accountability, and compliance; in banks and financial institutions managing third-party risk, outsourcing, and procurement analytics; and in oil and gas and industrial organizations managing materials and spare parts, complex supplier networks, maintenance and operations supply, logistics, and project procurement. IT, data and analytics, risk, internal audit, legal, and compliance professionals who support or oversee AI initiatives, as well as senior leaders sponsoring procurement and supply chain transformation, will also benefit from the course.

Learning Outcomes

  • By the end of the course, participants will be able to:
  • Explain key AI concepts in plain business language and relate them to procurement and supply chain activities.
  • Distinguish realistic AI capabilities from overstated claims when evaluating solutions.
  • Identify, assess, and prioritize AI use cases based on value, feasibility, data availability, and risk.
  • Use AI-supported spend analysis to identify consolidation, compliance, and savings opportunities.
  • Evaluate how predictive models can improve demand forecasts and inventory decisions.
  • Apply AI-based insights to monitor supplier risk and performance more proactively.
  • Use generative AI tools responsibly to support document review, drafting, and analysis while verifying outputs.
  • Assess data readiness and define the data improvements needed to support AI initiatives.
  • Apply responsible AI and governance controls appropriate to procurement decisions and regulatory requirements.
  • Design and evaluate an AI pilot with clear success criteria.
  • Build a business case and track the value delivered by AI initiatives.
  • Present a practical AI adoption roadmap for their procurement or supply chain function.

Course Outline

Course Outline:

Day 1

Foundations of AI in Procurement and Supply Chain

  • The evolving role of data and AI in procurement and supply chain management
  • Core AI concepts: machine learning, predictive analytics, natural language processing, and generative AI
  • Realistic capabilities, limitations, and common misconceptions
  • Assessing procurement and supply chain data and analytics maturity
  • Practical application: participants assess the AI readiness of their function
Day 2

AI in Sourcing, Spend, and Contracts

  • AI-enabled spend classification and spend analytics
  • AI support for sourcing strategy, market analysis, and bid evaluation
  • Contract analysis, clause extraction, and obligation tracking using natural language processing
  • Generative AI for tender documents, supplier communication, and procurement assistance
  • Practical application: participants identify and assess AI use cases in sourcing and contracting
Day 3

AI in Supply Planning, Inventory, and Logistics

  • Demand forecasting using predictive analytics
  • Inventory optimization, replenishment, and materials planning
  • Logistics, transportation, and warehouse optimization
  • Supplier risk monitoring, early warning, and supply chain resilience
  • Practical application: participants evaluate an AI-based forecasting and supplier risk scenario
Day 4

Data, Governance, and Responsible AI

  • Data readiness: sources, quality, integration, and master data
  • Responsible AI principles: transparency, fairness, accountability, and human oversight
  • Regulatory, ethical, data protection, and public procurement considerations
  • Cybersecurity and risks of AI solutions and third-party providers
  • Practical application: participants complete a data readiness assessment and a responsible AI checklist
Day 5

Implementation, Value, and the AI Adoption Roadmap

  • Evaluating and selecting AI solutions and providers
  • Designing and running AI pilots
  • Building the business case and measuring value with procurement and supply chain KPIs
  • Change management, skills development, and new ways of working
  • Final workshop: participants finalize a prioritized AI use case portfolio, pilot design, and AI adoption roadmap

Upcoming Dates

Selected date

Istanbul · 3 – 7 May 2027 · Classroom

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CityDatesPrice per ParticipantEarly Bird
IstanbulScheduled
2 – 6 Nov 2026€4,700—
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Kuala LumpurScheduled
9 – 13 Nov 2026€4,400—
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LisbonScheduled
16 – 20 Nov 2026€5,400—
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LondonScheduled
23 – 27 Nov 2026€5,600€5,040until 2 Nov
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AmsterdamConfirmed
23 – 27 Nov 2026€5,400€4,860until 2 Nov
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MadinahScheduled
30 Nov – 4 Dec 2026€4,200€3,780until 9 Nov
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MadridScheduled
7 – 11 Dec 2026€5,400€4,860until 16 Nov
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MakkahScheduled
7 – 11 Dec 2026€4,200€3,780until 16 Nov
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AmsterdamScheduled
7 – 11 Dec 2026€5,400€4,860until 16 Nov
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ManamaScheduled
14 – 18 Dec 2026€4,700€4,230until 23 Nov
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MilanScheduled
21 – 25 Dec 2026€6,000€5,400until 30 Nov
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MunichScheduled
28 Dec 2026 – 1 Jan 2027€5,400€4,860until 7 Dec
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MuscatScheduled
4 – 8 Jan 2027€5,300€4,770until 14 Dec
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OnlineScheduled
10 – 14 Jan 2027€1,700€1,530until 21 Dec
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ParisScheduled
18 – 22 Jan 2027€5,700€5,130until 28 Dec
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RiyadhScheduled
25 – 29 Jan 2027€4,200€3,780until 4 Jan
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RomeScheduled
25 – 29 Jan 2027€5,800€5,220until 4 Jan
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SingaporeScheduled
1 – 5 Feb 2027€6,700€6,030until 11 Jan
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ViennaScheduled
8 – 12 Feb 2027€5,700€5,130until 18 Jan
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ZurichScheduled
15 – 19 Feb 2027€5,000€4,500until 25 Jan
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AmmanScheduled
21 – 25 Feb 2027€3,100€2,790until 1 Feb
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AmsterdamScheduled
1 – 5 Mar 2027€5,400€4,860until 8 Feb
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BangkokScheduled
8 – 12 Mar 2027€6,100€5,490until 15 Feb
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BarcelonaScheduled
8 – 12 Mar 2027€5,400€4,860until 15 Feb
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BerlinScheduled
15 – 19 Mar 2027€5,800€5,220until 22 Feb
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CairoScheduled
22 – 26 Mar 2027€3,300€2,970until 1 Mar
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CasablancaScheduled
29 Mar – 2 Apr 2027€4,300€3,870until 8 Mar
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DammamScheduled
5 – 9 Apr 2027€4,200€3,780until 15 Mar
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DohaScheduled
12 – 16 Apr 2027€4,400€3,960until 22 Mar
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DubaiScheduled
18 – 22 Apr 2027€4,400€3,960until 29 Mar
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IstanbulScheduled
3 – 7 May 2027€4,700€4,230until 12 Apr
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Available in: Istanbul · Dubai · London · Riyadh · Doha · Amsterdam

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