AI-Powered Logistics & Supply Chain Transformation

Course Overview

This two-day, instructor-led programme helps supply chain and operations

leaders turn artificial intelligence opportunities into practical

transformation plans. Participants explore Generative AI, Agentic AI and

ERP-connected workflows across forecasting, inventory, procurement,

warehousing, transportation and customer service. The programme is

business-focused and does not require technical or coding experience.

Through facilitator-led sessions, live demonstrations, industry use

cases and team activities, participants identify performance gaps and

prioritise suitable AI opportunities. They learn to assess data

readiness, design controlled workflows, develop executive business cases

and consider return on investment, payback, risk mitigation and value

realisation. The programme also addresses responsible AI, governance,

human oversight and change leadership. Participants finish by developing

a practical 90-day transformation roadmap for their organisation.

Course Objectives

By the end of the programme, participants will be able to:

• ✓ Identify valuable AI opportunities across supply chains.

• ✓ Differentiate traditional analytics, Generative AI and Agentic AI.

• ✓ Develop executive business cases demonstrating measurable value.

• ✓ Design ERP-connected workflows with appropriate controls.

• ✓ Implement responsible AI with effective human oversight.

• ✓ Lead organisational change and workforce AI readiness.

• ✓ Create practical roadmaps for enterprise AI adoption.

Prerequisites

• ✓ Three years relevant industry experience.

• ✓ Familiarity with supply chain processes.

• ✓ Basic ERP system familiarity helpful.

Course Outline

Day 1: Opportunities, Intelligence and Operations

Module 1: The AI Landscape in Supply Chain

• ✓Compare traditional analytics, Generative AI and Agentic AI technologies.

• ✓Explore AI copilots and autonomous supply chain workflows.

• ✓Identify practical AI applications across modern supply chain operations.

• ✓Understand realistic expectations for AI-driven business transformation.

Module 2: Forecasting and Inventory Optimization

• ✓Explore AI-driven demand planning and forecasting techniques.

• ✓Optimise safety stock and reorder point calculations effectively.

• ✓Understand data requirements and common inventory planning challenges.

• ✓Reduce stockouts through improved inventory management strategies.

Module 3: Transportation Excellence

• ✓Explore intelligent route planning and transportation optimization techniques.

• ✓Improve delivery performance through predictive analytics and insights.

• ✓Evaluate carrier performance using operational efficiency indicators.

• ✓Reduce transportation costs while improving delivery reliability.

Day 2: Execution, Business Case and Roadmap

Module 4: Procurement and Warehousing

• ✓Automate purchase order follow-ups and supplier management activities.

• ✓Explore AI-powered warehouse picking and dispatch optimization techniques.

• ✓Apply Generative AI across procurement and warehouse operations.

• ✓Improve operational productivity through intelligent process automation solutions.

Module 5: ERP-Connected Processes and Workflow Design

• ✓Assess organisational data readiness for successful ERP integration.

• ✓Design AI workflows incorporating approvals and audit trails.

• ✓Explore intelligent automation across enterprise resource planning processes.

• ✓Develop practical ERP-connected workflows through hands-on activities.

Module 6: Building the Executive Business Case

• ✓Calculate return on investment and expected business value.

• ✓Evaluate investment risks and develop mitigation strategies.

• ✓Build business cases aligned with organisational strategic priorities.

• ✓Present AI investment proposals confidently to senior leadership.

Module 7: Responsible AI and Change Leadership

• ✓Understand AI governance, controls and human oversight.

• ✓Address ethical AI challenges and operational risk management.

• ✓Prepare employees through structured upskilling and change initiatives.

• ✓Promote responsible AI adoption and sustainable organisational growth.

Course Outcomes

Upon completing the programme, participants will be able to:

• ✓ Identify high-value AI opportunities across supply chain operations.

• ✓ Differentiate AI technologies and select appropriate business

applications.

• ✓ Develop investment cases demonstrating ROI and measurable value.

• ✓ Design ERP-connected workflows incorporating approvals and

auditability.

• ✓ Apply responsible AI governance, controls and human oversight.

• ✓ Lead workforce readiness, skills development and organisational

change.

• ✓ Prioritise implementation initiatives with owners, milestones and

KPIs.

• ✓ Present actionable 90-day roadmaps for enterprise AI adoption.

Key Benefits of Embracing AI-Powered Logistics & Supply Chain Transformation

Explore how AI-powered solutions enhance supply chain efficiency, optimise logistics operations, improve forecasting, strengthen procurement, and reduce operational costs while driving sustainable business growth.

How AI-Powered Logistics & Supply Chain Transformation Can Revolutionize Your Business Operations?

Transform your business operations through Artificial Intelligence by improving demand forecasting, automating workflows, optimising inventory, enhancing transportation, and strengthening decision-making to achieve greater efficiency, resilience, and long-term business success.