In an era where supply chains are increasingly complex and customer expectations are higher than ever, organizations must evolve from traditional forecasting models to more dynamic, responsive, and technology-driven planning systems. This advanced training program, Advanced Demand-Driven Planning: AI, Automation, and Robotics, equips participants with the knowledge, frameworks, and practical approaches required to implement next-generation planning strategies.
The course integrates concepts of artificial intelligence, automation, and robotics into the broader discipline of demand-driven planning. Participants will explore how predictive analytics, machine learning, and robotic process automation (RPA) can be harnessed to create efficient, resilient, and sustainable supply chains. Special emphasis is placed on optimizing resource allocation, ensuring compliance with regulatory standards, fostering collaboration across functions, and embedding sustainability into planning practices.
Through interactive discussions, case studies, and applied modules, learners will develop actionable strategies to align technology with business objectives. By the end of the course, participants will be equipped to lead transformation initiatives that balance optimization, efficiency, collaboration, resilience, compliance, and sustainability in planning and operations.
Objective
Upon completing this course, participants will be able to:
- Understand the principles and frameworks of advanced demand-driven planning and their application across industries.
- Analyze the role of AI and predictive analytics in forecasting accuracy and planning decisions.
- Apply automation and robotics to streamline workflows, improve efficiency, and reduce human error.
- Foster collaboration by integrating digital platforms that connect cross-functional teams and supply chain partners.
- Design resilient systems that adapt quickly to disruptions, regulatory changes, and evolving market demands.
- Incorporate compliance and governance requirements into advanced planning processes.
- Embed sustainability and green practices into demand-driven strategies for long-term competitive advantage.
Target Audience
This training is designed for professionals who are directly involved in supply chain management, operations, and digital transformation, including:
- Supply Chain Managers and Directors
- Operations and Production Planners
- Logistics and Procurement Specialists
- Business Analysts and Process Improvement Experts
- Innovation, Digital Transformation, and Automation Leaders
- Compliance and Sustainability Officers
- Consultants and professionals seeking advanced knowledge in technology-enabled planning
Course Modules
Module 1: Introduction to Advanced Demand-Driven Planning
- Evolution of supply chain planning: from forecast-driven to demand-driven models
- Key drivers of transformation in global markets
- The role of technology in enabling responsiveness and agility
- Contextual focus: optimization, efficiency, resilience, compliance, and sustainability
Module 2: AI in Forecasting and Planning
- How artificial intelligence transforms demand sensing and forecasting accuracy
- Applications of machine learning and predictive analytics in real-time decision-making
- Scenario modeling and adaptive planning using AI tools
- Case examples: AI-powered demand planning in manufacturing, retail, and logistics
Module 3: Automation in Planning Processes
- Introduction to robotic process automation (RPA) in planning workflows
- Automating repetitive, error-prone planning activities
- Integration of automation with enterprise planning systems (ERP, APS, SCM platforms)
- Benefits: cost reduction, efficiency gains, and improved compliance monitoring
Module 4: Robotics in Supply Chain Operations
- The role of robotics in production, warehousing, and last-mile distribution
- Collaborative robots (cobots) and their integration with human teams
- Robotics as enablers of demand-driven flexibility
- Real-world case studies: automated warehouses, robotic picking systems, and autonomous vehicles
Module 5: Collaboration and Integration
- Building a connected planning ecosystem through digital platforms
- Enhancing collaboration across procurement, production, logistics, and sales
- Breaking silos: fostering real-time communication and visibility
- Leveraging cloud-based tools for global collaboration and compliance alignment
Module 6: Building Resilience and Compliance
- Understanding supply chain risks in volatile environments
- Designing adaptive systems that withstand disruptions (pandemics, geopolitical shifts, natural disasters)
- Ensuring regulatory compliance in technology-driven planning
- Tools and frameworks for balancing agility, compliance, and resilience
Module 7: Sustainability in Demand-Driven Planning
- Aligning planning with environmental, social, and governance (ESG) standards
- Green technologies: energy efficiency, waste reduction, and resource optimization
- Life-cycle planning and sustainable sourcing strategies
- Measuring and reporting sustainability performance in planning systems
Module 8: Future Trends and Case Studies
- Emerging trends in demand-driven planning: AI-driven autonomous planning, digital twins, and blockchain integration
- Industry case studies: leading companies implementing Artificial Intelligence (AI), automation, and robotics
- Lessons learned and best practices for sustainable, compliant, and resilient planning
- Preparing for the future: leadership skills and strategies for technology adoption