Role-Based Programme
RB1306

AI for Supply Chain Operations

Demand Intelligence, Inventory Optimisation & Operational Resilience

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Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Develop practical AI capabilities for demand planning, inventory management, supplier coordination, logistics, fulfilment, and supply chain decision support.
  • Apply AI to analyse demand patterns, inventory positions, supplier performance, lead times, logistics issues, and operational disruptions.
  • Use AI to strengthen planning, exception management, root-cause analysis, order tracking, supplier communication, and reporting.
  • Improve supply chain performance through structured prioritisation, inventory optimisation, process improvement, and risk mitigation.
  • Apply responsible AI practices related to supply chain data, supplier confidentiality, forecasting accuracy, commercial sensitivity, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchDemand AnalysisInventory AnalysisSupplier IntelligenceLogistics AnalysisOrder & Fulfilment AnalysisRoot-Cause AnalysisRisk & Disruption AnalysisWorkflow OptimisationSupply Chain ReportingExecutive Summarisation

Who should attend

  • Supply Chain Managers
  • Supply Chain Executives
  • Supply Chain Analysts
  • Operations Managers
  • Demand Planning Professionals
  • Inventory Management Professionals
  • Logistics Professionals
  • Warehouse Operations Professionals
  • Order Management Professionals
  • Fulfilment Operations Professionals
  • Supplier Coordination Professionals
  • Distribution Operations Professionals
  • Supply Planning Professionals
  • Operational Excellence Professionals
  • Supply Chain Operations Leaders

Prerequisites & Participant Readiness

  • Experience in supply chain, logistics, inventory, demand planning, fulfilment, or operations
  • Familiarity with supply chain KPIs, order flows, inventory, suppliers, logistics, and operational reporting
  • Basic familiarity with Generative AI tools is recommended
  • Ability to interpret supply chain and operational information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, and AI assistants
  • Exploring AI applications across demand, inventory, suppliers, logistics, and fulfilment
  • Understanding how AI differs from ERP, WMS, TMS, planning, and analytics platforms
  • Recognising hallucinations, weak assumptions, and limitations in supply chain decisions
Practical activities
  • Mapping the end-to-end supply chain lifecycle to practical AI use cases
  • Identifying high-value versus high-risk AI applications
  • Comparing traditional and AI-assisted supply chain workflows

Scenarios

Inventory Shortage to Supply Recovery Plan

Demand Change → Inventory Review → Supply Commitments → Supplier Analysis → Logistics Status → Risk Prioritisation → Recovery Actions → Service Restoration Plan

Participants use AI to analyse a simulated inventory shortage, identify the strongest contributing factors, assess supplier and logistics dependencies, and create a structured supply recovery plan.

Declining OTIF to Supply Chain Improvement Strategy

OTIF Performance → Order Analysis → Inventory Gaps → Supplier Performance → Logistics Delays → Root-Cause Analysis → Corrective Actions → Improvement Roadmap

Participants use AI to investigate a simulated decline in on-time and in-full delivery performance, identify recurring supply chain issues, and develop a structured improvement roadmap across planning, inventory, suppliers, logistics, and fulfilment.

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