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Program Professional Framework

CILT Certificate in AI for Supply Chain Professionals (AISCP)

Program Overview

Artificial intelligence is changing how supply chains forecast, plan, buy, store and move goods. Designed for supply chain professionals rather than data scientists, this course explains how machine learning, optimisation and generative AI work in practice and where they add value: demand forecasting, inventory optimisation, route planning, supplier risk monitoring, warehouse automation and procurement analytics. Participants learn to assess data readiness, evaluate AI vendors and model results, manage risks such as bias and model drift, and apply responsible AI principles such as those published by SDAIA in Saudi Arabia.

Learning Outcomes

✓Explain the main AI techniques used in supply chains and the type of problem each solves.
✓Identify and prioritise AI use cases in their own supply chain based on value and data availability.
✓Assess data quality and readiness for an AI forecasting or optimisation project.
✓Evaluate AI model outputs using accuracy metrics and business impact rather than vendor claims.
✓Define human oversight, governance and responsible AI controls for supply chain AI tools.
✓Prepare a pilot proposal for an AI use case with scope, data, success criteria and risks.

Target Audience

Supply chain, planning and logistics managers
Procurement and inventory specialists
Supply chain analysts and digital champions
Operations leaders evaluating AI investments

Detailed Program Modules

01AI Fundamentals for Supply Chains

Machine learning, optimisation and generative AI
What AI can and cannot do
AI adoption trends in GCC logistics

02AI in Planning and Inventory

Machine learning demand forecasting
Demand sensing and external signals
Inventory and replenishment optimisation

03AI in Logistics and Warehousing

Route and load optimisation
Predictive maintenance for fleets and equipment
Computer vision and warehouse automation

04AI in Procurement and Supplier Risk

Spend analytics and contract intelligence
Supplier risk monitoring
Generative AI assistants for buyers

05Data Readiness and Model Evaluation

Data quality and preparation
Accuracy metrics and backtesting
Model drift and performance monitoring

06Responsible Adoption

Human oversight and decision rights
Bias, privacy and data protection
Building and scaling an AI pilot

Training Methodology

Interactive expert-led sessions grounded in workplace examples

Case studies and practical exercises drawn from the region

Group workshops with peer review of decisions and deliverables

Formative feedback against clear performance criteria

Applied Project & Assessment

Applied Project

Participants develop an AI pilot proposal for a supply chain problem in their organisation: use case definition, data inventory and readiness assessment, success metrics, governance controls and an implementation plan.

Assessment

Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.

University Certificate & International Accreditation

Professional Certificate accredited by Alzette University in CILT Certificate in AI for Supply Chain Professionals (AISCP)

International accreditation: Global Leadership Organization (GLO)