DEMAND MANAGEMENT & ADVANCED FORECASTING TECHNIQUES
Driving Supply Chain Efficiency Through Accurate Forecasting and Strategic Demand Planning
Course Schedule
| Date | Venue | Fees (Face-to-Face) |
|---|---|---|
| 21 – 25 Jun 2026 | Cairo, Egypt | USD 3495 per delegate |
Course Introduction
In today’s volatile market environment, inaccurate demand forecasts can lead to stockouts, excess inventory, missed sales, and lost opportunities. Demand management and advanced forecasting are critical capabilities for companies seeking to align supply with actual market needs and optimize resources.
This course equips supply chain, planning, and operations professionals with proven tools and techniques to forecast demand, manage variability, and balance supply chain responsiveness. Participants will explore both qualitative and quantitative methods—including time series models, causal analysis, machine learning applications, and collaborative forecasting—within a structured, hands-on learning format.
Course Objectives
By the end of this course, participants will be able to:
• Understand the end-to-end demand management process and its role in the supply chain
• Apply advanced forecasting models for different demand patterns
• Segment products and customers for differentiated planning
• Integrate demand signals across sales, marketing, and operations
• Analyze forecast error and continuously improve accuracy
• Align inventory and production with demand to enhance service levels
Key Benefits of Attending
• Strengthen your ability to predict market needs and reduce uncertainty
• Master statistical forecasting techniques and forecasting software tools
• Enable collaborative forecasting with commercial and operational teams
• Minimize obsolescence and inventory costs while maximizing fill rates
• Gain hands-on experience through real-life simulation and modeling
Intended Audience
This program is designed for:
• Demand Planners and Forecasting Analysts
• Supply Chain, Procurement, and Inventory Managers
• Operations and Production Planning Professionals
• Commercial, Sales, and S&OP Teams
• Anyone involved in aligning supply with customer demand
Individual Benefits
Key competencies that will be developed include:
• Forecast modeling and data interpretation
• Demand sensing and planning cycle design
• Error measurement and forecast performance tracking
• Scenario analysis for promotion and event planning
• Statistical and AI-based forecasting tool usage
Organization Benefits
Upon completing the training course, participants will demonstrate:
• Improved service levels and customer satisfaction
• Reduced inventory holding costs and stockouts
• Streamlined planning processes and reduced lead times
• Greater visibility and alignment across departments
• Better response to market trends and seasonality
Instructional Methdology
The course follows a blended learning approach combining theory with practice:
• Strategy Briefings – Demand planning frameworks and forecasting strategies
• Case Studies – Industry-specific forecasting challenges and best practices
• Workshops – Forecast modeling, segmentation, and S&OP exercises
• Peer Exchange – Real-world demand planning obstacles and lessons learned
• Tools – Forecast error calculators, segmentation matrices, planning templates
Course Outline
Training Hours: 7:30 AM – 3:30 PM
Daily Format: 3–4 Learning Modules | Coffee breaks: 09:30 & 11:15 | Lunch Buffet: 01:00 – 02:00
Day 1: Foundations of Demand Management
- Module 1: Introduction to Demand Planning (07:30 – 09:30)
• Scope, objectives, and key success factors - Module 2: Role of Forecasting in the Supply Chain (09:45 – 11:15)
• Impacts on procurement, production, and distribution - Module 3: Demand Segmentation and Variability (11:30 – 01:00)
• ABC/XYZ analysis, product lifecycle, volatility - Module 4: Workshop – Conduct Product Segmentation (02:00 – 03:30)
• Segment portfolio based on demand characteristics
Day 2: Forecasting Methods – Qualitative and Quantitative
- Module 5: Qualitative Forecasting Techniques (07:30 – 09:30)
• Expert panels, Delphi, sales force input - Module 6: Time Series Forecasting Models (09:45 – 11:15)
• Moving averages, exponential smoothing, seasonality - Module 7: Causal and Regression-Based Forecasting (11:30 – 01:00)
• Influencers like price, promotions, economic indicators - Module 8: Workshop – Build a Multi-Model Forecast (02:00 – 03:30)
• Apply time series and causal forecasting on sample data
Day 3: Tools, Systems, and Forecast Accuracy
- Module 9: Forecasting Software and AI Tools (07:30 – 09:30)
• Demand planning tools, AI/ML integration - Module 10: Forecast Error Measurement and Bias (09:45 – 11:15)
• MAPE, MAD, tracking signal, forecast value added - Module 11: Improving Forecast Accuracy (11:30 – 01:00)
• Root cause analysis, lag correction, forecast overrides - Module 12: Workshop – Analyze and Correct Forecast Errors (02:00 – 03:30)
• Error tracking using Excel or forecasting software
Day 4: Collaborative and Responsive Planning
- Module 13: Sales and Operations Planning (S&OP) Alignment (07:30 – 09:30)
• Collaborative inputs and consensus forecasting - Module 14: Promotions, Events, and Seasonality Planning (09:45 – 11:15)
• Demand shaping and override management - Module 15: Demand Sensing and Real-Time Signals (11:30 – 01:00)
• Near-term adjustments using POS and external data - Module 16: Workshop – Build an S&OP Demand Consensus Model (02:00 – 03:30)
• Group activity aligning forecasts across functions
Day 5: Strategic Integration and Continuous Improvement
- Module 17: Strategic Forecasting for Long-Term Planning (07:30 – 09:30)
• Capacity planning, CAPEX, portfolio decisions - Module 18: Integrating Demand Planning with Inventory Strategy (09:45 – 11:15)
• Safety stock, reorder points, demand variability - Module 19: Case Study – Demand Planning Transformation (11:30 – 01:00)
• Lessons from successful implementations - Module 20: Final Workshop – Present a Forecasting Improvement Plan (02:00 – 03:30)
• Participants develop a forecast enhancement strategy
Certification
Participants will receive a Certificate of Completion in Demand Management & Advanced Forecasting Techniques, validating their ability to lead demand planning and forecasting initiatives that enhance responsiveness, reduce uncertainty, and improve supply chain performance.