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Course Overview

Artificial Intelligence is reshaping logistics by enabling smarter decision-making, real-time optimization, and predictive capabilities. From demand forecasting and warehouse automation to route optimization and last-mile delivery, AI technologies are revolutionizing supply chains.

This course covers AI-driven logistics solutions, machine learning forecasting, robotics in warehouses, predictive maintenance, and smart routing algorithms. Participants will learn how to apply AI to streamline operations, improve resilience, and achieve competitive advantage.

At EuroQuest International Training, the program combines case studies, simulations, and practical workshops to prepare participants to harness AI for advanced logistics and supply chain optimization.

Key Benefits of Attending

• Master AI applications in logistics planning and optimization

• Apply machine learning for demand and inventory forecasting

• Enhance routing, scheduling, and last-mile delivery efficiency

• Use AI to improve warehouse and fleet operations

• Strengthen supply chain resilience with predictive analytics

Why Attend

This course empowers logistics leaders to leverage AI as a tool for transforming supply chains, delivering efficiency, agility, and measurable business impact.

Course Methodology

• Expert-led lectures on AI in logistics

• Case studies of AI-driven supply chain success

• Workshops on forecasting and optimization tools

• Group projects on AI-enabled logistics strategies

• Simulations of real-world logistics challenges

Course Objectives

By the end of this ten-day training course, participants will be able to:

• Understand AI applications in logistics and supply chains

• Apply machine learning for demand and supply forecasting

• Optimize transportation and routing with AI tools

• Leverage AI-driven warehouse and inventory management

• Apply predictive analytics for logistics efficiency

• Integrate AI with IoT and automation systems

• Manage risks and uncertainties in AI-enabled logistics

• Improve decision-making with real-time logistics insights

• Enhance customer experience through smart logistics systems

• Design sustainable AI-driven logistics strategies

• Evaluate AI tools for ROI and operational impact

• Develop an organizational roadmap for AI adoption

Target Audience

• Supply chain and logistics managers

• Operations and planning leaders

• Transportation and distribution professionals

• Data analysts and AI project managers

• Consultants in logistics and supply chain optimization

Target Competencies

• AI-driven logistics planning

• Predictive analytics and forecasting

• Transportation and route optimization

• Warehouse and inventory automation

• Risk management in smart logistics

• Strategic AI integration

• Supply chain resilience and agility

Course Outline

Unit 1: Introduction to AI in Logistics

• Overview of AI technologies in supply chain management

• Benefits and challenges of AI adoption

• Global case studies of AI logistics applications

• Workshop on AI opportunities mapping

Unit 2: Machine Learning for Demand Forecasting

• Predictive analytics for demand and supply planning

• Using historical and real-time data for forecasting

• Machine learning algorithms for inventory management

• Practical forecasting exercises

Unit 3: AI in Warehouse and Inventory Optimization

• Robotics and automation in warehouse operations

• Smart inventory tracking and replenishment systems

• Reducing waste and improving accuracy with AI

• Case examples of automated warehouses

Unit 4: Transportation and Route Optimization

• AI algorithms for fleet and route planning

• Dynamic scheduling and real-time adjustments

• AI in last-mile delivery optimization

• Workshop on routing simulations

Unit 5: Predictive Maintenance in Logistics Assets

• AI-enabled predictive maintenance for fleets

• Monitoring logistics equipment health

• Reducing downtime through proactive repairs

• Case studies on predictive maintenance

Unit 6: Risk Management and Resilience with AI

• AI for supply chain risk identification

• Enhancing resilience during disruptions

• Scenario planning with AI-driven insights

• Group activity on risk simulations

Unit 7: Customer-Centric Logistics with AI

• Enhancing customer experience through AI logistics

• Real-time tracking and communication systems

• Personalized delivery strategies using AI

• Case studies of customer-driven logistics

Unit 8: AI and IoT in Smart Logistics Systems

• Integration of AI with IoT technologies

• Real-time monitoring and data-driven logistics

• Smart logistics networks and digital twins

• Practical IoT and AI applications

Unit 9: Sustainability in AI Logistics

• Reducing emissions through optimized routing

• AI for sustainable packaging and inventory practices

• ESG alignment in logistics strategies

• Case examples of green AI logistics

Unit 10: Evaluating AI Tools and ROI in Logistics

• Frameworks for evaluating AI adoption

• Measuring ROI and operational impact

• Building business cases for AI investment

• Workshop on ROI calculation

Unit 11: Global Trends in AI-Driven Logistics

• Emerging global AI logistics technologies

• Cross-border logistics optimization with AI

• Lessons from international AI logistics leaders

• Group discussions on global perspectives

Unit 12: Capstone AI Logistics Project

• Group-based project on AI in logistics strategy

• Designing end-to-end AI-enabled logistics solutions

• Presenting optimization roadmaps and ROI plans

• Action plan for organizational adoption

Closing Call to Action

Join this ten-day training course to master AI applications in logistics planning and optimization, enabling you to transform supply chains with innovation, efficiency, and resilience.