Inventory & Forecasting Excellence
Inventory & Forecasting Excellence
Inventory & Forecasting Excellence
Course Overview
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Learners enrolled
DFIM
Demand Forecasting and Inventory Management
Through real-world applications, participants will learn how to manage inventory investments, improve service levels, minimize excess and obsolete stock, and align inventory strategies with business objectives. The course also introduces analytical tools and performance metrics that support data-driven inventory optimization and supply chain excellence.
What You Will Learn
The main objectives of the course are:
- Understand the fundamentals of demand forecasting and inventory management.
- Learn key forecasting techniques to predict customer demand.
- Improve forecast accuracy using data and performance metrics.
- Understand inventory costs and their impact on business performance.
- Apply inventory control and replenishment strategies effectively.
- Calculate and manage safety stock and service levels.
- Use EOQ and reorder point methods for inventory planning.
- Monitor inventory performance using key KPIs.
- Optimize inventory levels while maintaining product availability.
- Leverage analytics and technology for better planning decisions.
- Reduce risks related to stockouts, excess inventory, and obsolescence.
- Develop integrated demand and inventory strategies to improve supply chain performance.
Who Should Enroll
This certificate is designed for supply chain professionals, demand planners, inventory managers, procurement specialists, warehouse managers, operations professionals, logistics practitioners, business analysts, and anyone responsible for forecasting demand and managing inventory performance within an organization.
Skills You Will Build
- Demand Forecasting
- Inventory Management
- Inventory Optimization
- Demand Planning
- Inventory Control
- Forecast Accuracy Analysis
- Safety Stock Management
- Replenishment Planning
- Supply Chain Analytics
- Inventory Performance Measurement
- Data-Driven Decision Making
- Supply Chain Planning
- Demand Planning
- Inventory Strategy Development
- Forecasting Techniques
- Inventory Optimization
- Inventory Performance Management
- Supply Chain Planning
- Statistical Analysis
- Replenishment Management
- Service Level Management
Course Outline - Demand & Inventory Optimization
Module 1: The Strategic Role of Demand Forecasting
- Forecasting as a business decision engine.
- Demand, sales, and shipment data differences.
- Forecast hierarchy and push-pull alignment.
Module 2: Identifying and Classifying Demand Patterns
- Stable, seasonal, trend, and intermittent demand.
- Demand pattern classification for planning.
- Data cleansing for outliers and events.
Module 3: Quantitative Forecasting Methods and Accuracy Metrics
- Moving average and exponential smoothing methods.
- Trend projection and regression models.
- MAPE, MAD, and forecast bias.
Module 4: Collaborative Demand Planning and S&OP
- S&OP fundamentals and planning cycles.
- Demand consensus across functions.
- Alignment of sales, operations, and inventory.
Module 5: Inventory Fundamentals: Stock Types and Costs
- Cycle stock, safety stock, and buffer stock.
- Holding, ordering, and stockout costs.
- Service-level and cost trade-offs.
Module 6: ABC Analysis: Value-Based Inventory Segmentation
- Pareto principle for inventory focus.
- A, B, and C item classification.
- Control intensity by inventory value.
Module 7: VED Analysis: Criticality-Based Inventory Segmentation
- Vital, Essential, and Desirable categories.
- Criticality-based policy decisions.
- Stockout risk control for key items.
Module 8: Integrating ABC and VED: The 3x3 Inventory Matrix
- Value and criticality integration.
- ABC x VED prioritization matrix.
- Strategic actions by inventory category.
Module 9: Designing Inventory Policies by Category
- Reorder points and safety stock.
- Review frequency and replenishment logic.
- Policy levers by item priority.
Module 10: Advanced Demand-Driven Inventory Concepts
- Decoupling points and buffer profiles.
- Demand-driven replenishment logic.
- Inventory response under variability.
Module 11: Digital and AI-Enabled Forecasting and Inventory Management
- Machine learning forecasting basics.
- Demand sensing and real-time signals.
- Inventory visibility and digital dashboards.
Learn at your convenience
*Note: These are self-paced courses, allowing learners to study independently at their own pace.
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