AI in Supply Chain, Logistics & Operations Optimisation
This course provides advanced knowledge and practical skills on the application of Artificial Intelligence (AI) …
Short Courses
Beginner
AI in Supply Chain, Logistics & Operations Optimisation
1 hours
2 students
Added Mar 10, 2026
Course Overview:
This course provides advanced knowledge and practical skills on the application of Artificial Intelligence (AI) in supply chain management, logistics, and operations optimisation. It focuses on how AI-driven tools and data analytics can enhance demand forecasting, inventory management, transportation planning, procurement, and end-to-end supply chain visibility.
Participants will gain the capacity to apply AI responsibly to improve efficiency, resilience, cost control, and decision-making across supply chains and operations—particularly within complex, multi-country, and resource-constrained environments.
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Learning Objectives:
By the end of this course, participants will be able to:
Understand core AI concepts and their relevance to supply chain and logistics operations
Apply AI tools to demand forecasting, inventory optimisation, and transport planning
Use AI-driven analytics to enhance operational performance and risk management
Strengthen end-to-end visibility and decision-making across supply chains
Address data governance, ethics, and cybersecurity risks in AI-enabled operations
Support digital transformation and resilience in supply chain systems
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Target Audience:
Supply chain and logistics managers
Procurement and sourcing professionals
Stores, Warehouse and distribution managers
Transport, fleet, and operations managers
Manufacturing and production planners
Public sector logistics and infrastructure officers
Humanitarian and donor-funded supply chain practitioners
Senior managers and decision-makers in operations
This course provides advanced knowledge and practical skills on the application of Artificial Intelligence (AI) in supply chain management, logistics, and operations optimisation. It focuses on how AI-driven tools and data analytics can enhance demand forecasting, inventory management, transportation planning, procurement, and end-to-end supply chain visibility.
Participants will gain the capacity to apply AI responsibly to improve efficiency, resilience, cost control, and decision-making across supply chains and operations—particularly within complex, multi-country, and resource-constrained environments.
________________________________________
Learning Objectives:
By the end of this course, participants will be able to:
Understand core AI concepts and their relevance to supply chain and logistics operations
Apply AI tools to demand forecasting, inventory optimisation, and transport planning
Use AI-driven analytics to enhance operational performance and risk management
Strengthen end-to-end visibility and decision-making across supply chains
Address data governance, ethics, and cybersecurity risks in AI-enabled operations
Support digital transformation and resilience in supply chain systems
________________________________________
Target Audience:
Supply chain and logistics managers
Procurement and sourcing professionals
Stores, Warehouse and distribution managers
Transport, fleet, and operations managers
Manufacturing and production planners
Public sector logistics and infrastructure officers
Humanitarian and donor-funded supply chain practitioners
Senior managers and decision-makers in operations
Who Should Take This Course
This course is ideal for beginners and those new to the field. No prior experience is required.
Course Content
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Production planning and scheduling using AI7 min
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Capacity planning and bottleneck analysis5 min
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Quality management and defect detection5 min
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Continuous improvement through process analytics4 min
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Integrating AI with Lean and Six Sigma approaches5 min
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AI-driven demand planning and forecasting models5 min
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Inventory optimisation and stock level management5 min
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Safety stock and replenishment planning using AI3 min
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Reducing stockouts, overstocks, and working capital4 min
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Scenario planning and demand variability analysis2 min
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Route optimisation and fleet management7 min
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AI-supported transportation planning and scheduling6 min
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Warehouse automation and smart logistics systems5 min
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Last-mile delivery optimisation4 min
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Performance monitoring and logistics analytics2 min
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AI-assisted sourcing and supplier selection6 min
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Spend analytics and procurement intelligence5 min
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Contract management and compliance monitoring5 min
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Supplier risk assessment and performance analytics4 min
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Supporting ethical and sustainable sourcing4 min
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Production planning and scheduling using AI7 min
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Capacity planning and bottleneck analysis5 min
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Quality management and defect detection5 min
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Continuous improvement through process analytics5 min
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Integrating AI with Lean and Six Sigma approaches4 min
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Predictive risk identification and early-warning systems7 min
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Supply chain disruption and resilience planning6 min
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AI in ESG, sustainability, and carbon tracking4 min
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Cybersecurity risks in digital supply chains5 min
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Managing uncertainty and crisis response4 min
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Assessing organisational readiness for AI adoption6 min
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Integrating AI into ERP, WMS, TMS, and legacy systems5 min
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Change management and workforce skills development5 min
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Vendor selection, procurement, and technology governance4 min
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Investment appraisal and business case development4 min
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Generative AI and intelligent automation in logistics5 min
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Digital twins and end-to-end supply chain visibility5 min
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AI-enabled humanitarian and public sector logistics5 min
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Regional and global case studies5 min
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Preparing supply chains for future shocks and opportunities4 min
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