Supply Chain · Professional · MBE™

DFIM

Mastering Demand Forecasting and Inventory Management

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Supply ChainProfessional level
30 Hours19 Modules
Self-pacedLearn at your own pace
CertificationEarn an MBE™ Credential

About the DFIM Certification

A stockout on one product line and a shelf of slow movers on the next usually trace back to the same cause: forecasts produced without classifying demand first, and stock policies set without reference to the forecast's error.

Mastering Demand Forecasting and Inventory Management treats the two as one discipline. Participants learn to read the demand signal correctly, pick a method that fits the pattern, measure error and bias honestly, and then translate the result into segmented inventory policies that give vital items the attention they deserve.

What You Will Learn

  • Separate demand from sales and shipments and build a forecast hierarchy from SKU to region
  • Classify demand into its core patterns and handle intermittent and lumpy items differently
  • Run Delphi and other judgmental methods while controlling for known forecasting biases
  • Apply moving averages, exponential smoothing and regression to data with trend and seasonality
  • Measure forecast error and bias and monitor it with tracking signals and control charts
  • Lead a consensus demand plan through the monthly S&OP cycle and one-number governance
  • Set order quantities, safety stock, service levels and reorder policies from carrying and ordering costs
  • Segment stock with ABC, VED and the combined matrix and assign policy bundles by category

What you take away

Skills You’ll Build

Mastering Demand Forecasting and Inventory Management skills
Demand signal cleansing
Demand pattern classification
Time-series forecasting
Forecast accuracy measurement

Core Topics

  • Inventory Strategy Development
  • Forecasting Techniques
  • Inventory Performance Management
  • Supply Chain Planning
  • Statistical Analysis
  • Replenishment Management
  • Service Level Management
  • Inventory Control
  • Forecast Accuracy Analysis
  • Safety Stock Management

Who Is This Course For?

Planning functions that have outgrown spreadsheet forecasting are the natural buyers. Demand planners learn the full method set and the metrics to defend their numbers. Inventory managers gain segmentation and policy design so stock targets follow criticality and value rather than habit.

Procurement specialists and warehouse managers who act on those numbers understand why the quantities change and how carrying expense is built up. Operations professionals and business analysts who sit in the S&OP meeting learn how a consensus plan is reconciled and governed. Running planners and their internal customers through it together is the quickest way to end arguments about whose forecast is right.

  • Supply chain professionals
  • Demand planners
  • Inventory managers
  • Procurement specialists
  • Warehouse managers
  • Operations professionals

What’s Included?

  • Self-paced modules you can revisit anytime
  • Digital study resources and templates
  • Knowledge checks and practice assessments
  • A digital, verifiable MBE credential on completion

Course Outline

19 Modules30 hoursSelf-paced

Nineteen modules divide into forecasting, inventory and integration. Module one establishes forecasting as a decision engine, and module two classifies demand patterns. Modules three to five cover judgmental, quantitative and time-series methods. Module six measures error and bias, and module seven lifts the forecast into S&OP.

Modules eight to eleven turn to inventory: stock types and costs, ABC analysis, VED analysis and the combined matrix. Modules twelve to fifteen set the policies: order quantities, safety stock and service levels, replenishment systems and policy design by category. Modules sixteen to eighteen address the bullwhip effect, demand-driven concepts and AI-enabled planning, and the capstone walks an integrated case from signal to stock.

1. The Strategic Role of Demand Forecasting
  • Demand Forecasting as a Business Decision Engine
  • Demand, Sales, and Shipment: Getting the Signal Right
  • The Forecast Hierarchy: From SKU to Region
  • Aligning Forecasting with Supply Chain Models: Push vs Pull
2. Identifying and Classifying Demand Patterns
  • Why Classification Comes Before Forecasting
  • The Four Core Demand Patterns
  • Intermittent and Lumpy Demand: The Hard Case
  • Cleansing Demand Data Before You Forecast
3. Qualitative and Judgmental Forecasting Methods
  • When Judgment Beats Data: The Role of Qualitative Forecasting
  • The Core Qualitative Methods
  • The Delphi Method in Depth
  • Judgmental Biases and How to Tame Them
4. Quantitative Forecasting Methods and Accuracy Metrics
  • The Quantitative Turn: Foundations of Data-Driven Forecasting
  • Averaging Methods: Naive, Moving Average, and Weighted Moving Average
  • Exponential Smoothing: Learning from the Recent Past
  • Causal and Regression-Based Forecasting
5. Time-Series Forecasting: Trend, Seasonality, and Smoothing
  • Anatomy of a Time Series: Level, Trend, Seasonality, and Noise
  • Measuring Seasonality: Seasonal Indices and Deseasonalizing
  • Holt's Method: Smoothing a Trend
  • Holt-Winters: Smoothing Trend and Seasonality Together
6. Forecast Error, Accuracy Metrics, and Bias Monitoring
  • The Anatomy of Forecast Error
  • Accuracy Metrics in Depth
  • Detecting and Diagnosing Forecast Bias
  • Monitoring Bias with Tracking Signals and Control Charts
7. Collaborative Demand Planning and S&OP
  • From Solo Forecast to Consensus Demand Plan
  • The Monthly S&OP Cycle
  • The One-Number Plan: Roles, Reconciliation, and Governance
  • External Collaboration: CPFR and Demand Signal Sharing
8. Inventory Fundamentals: Stock Types and Costs
  • Why Inventory Exists: Functions and the Strategic Trade-off
  • The Anatomy of Inventory: Stock Types
  • The Four Costs of Holding and Ordering Inventory
  • Inventory Carrying Cost in Depth
9. ABC Analysis: Value-Based Inventory Segmentation
  • The Pareto Principle: Why Inventory Attention Is Never Equal
  • Building the Classification: Annual Consumption Value
  • Reading the Pareto Curve and Setting Class Boundaries
  • Differentiated Control Policies by Class
10. VED Analysis: Criticality-Based Inventory Segmentation
  • Criticality, Not Just Value: The Blind Spot ABC Leaves Behind
  • The Three Criticality Classes: Vital, Essential, Desirable
  • Classifying by Criticality: Criteria, Scoring, and Judgement
  • Differentiated Control Policies by VED Class
11. Integrating ABC and VED: The 3×3 Inventory Matrix
  • Two Axes, One Catalogue: Why ABC and VED Must Be Combined
  • Constructing the 3×3 Matrix: Nine Cells From Two Classifications
  • From Nine Cells to Three Categories: I, II, and III
  • Differentiated Control Policies Across the Matrix
12. Economic Order Quantity and Lot-Sizing Models
  • The Order-Quantity Problem: Balancing Ordering and Holding Costs
  • The Economic Order Quantity Model
  • Quantity Discounts: Choosing the True Least-Cost Order Size
  • Production Lot Sizing: The Economic Production Quantity
13. Safety Stock, Service Levels, and Statistical Inventory Optimization
  • Why Safety Stock Exists: Uncertainty and the Cost of Certainty
  • Service Levels: Cycle Service Level versus Fill Rate
  • The Statistical Safety-Stock Model: Z-Scores and Variability
  • Setting Service Levels Economically: Holding Cost versus Stockout Cost
14. Replenishment Systems and Reorder Policies
  • The Replenishment Decision: Two Questions, Two Disciplines
  • Continuous Review: The Reorder Point and the (s, Q) System
  • Periodic Review: The (R, S) Order-Up-To System
  • Hybrid and Practical Systems: Min-Max, (s, S), and the Double Order Point
15. Designing Inventory Policies by Category
  • From Classification to Policy: Why One Rulebook Fails
  • The Anatomy of an Inventory Policy: Six Design Levers
  • Assigning Policy Bundles to the ABC-VED Categories
  • Ownership as a Policy Lever: VMI, Consignment, and Collaboration
16. The Bullwhip Effect and Supply Chain Coordination
  • What the Bullwhip Effect Is: Amplification Up the Chain
  • The Four Causes of Order Amplification
  • Measuring and Pricing the Bullwhip Effect
  • Coordination Remedies: Matching Cures to Causes
17. Advanced Demand-Driven Inventory Concepts
  • Beyond the Forecast: Why Push Systems Break
  • Decoupling Points: Positioning Inventory to Absorb Variability
  • Buffer Profiles and the Three Zones
  • Demand-Driven Replenishment and the Net Flow Equation
18. Digital and AI-Enabled Forecasting and Inventory Management
  • The Digital Transformation of Demand and Inventory
  • Machine Learning for Demand Forecasting
  • AI-Enabled Inventory Optimization and Autonomous Replenishment
  • The Enabling Technology Stack
19. Capstone: Integrated Demand and Inventory Professional Practice
  • The Integrated Planning System: From Signal to Stock
  • Reading the Situation: A Diagnostic Framework
  • Choosing the Right Method: An Applied Decision Playbook
  • The Integrated Case: An End-to-End Walkthrough

Complete the course assessments to earn the DFIM credential

Frequently Asked Questions

Why does the program classify demand before teaching forecasting methods?

Because the method has to fit the pattern. Module two lays out the core demand patterns, isolates intermittent and lumpy demand as the hard case, and shows how to cleanse history before any model touches it. Planners who skip that step tend to apply one smoothing method to everything and then wonder why error stays high on their slow-moving items.

Is the content statistical, and how much math is involved?

The quantitative modules explain moving averages, exponential smoothing, Holt and Holt-Winters methods and regression in planner terms, with the emphasis on when each applies and how to read the error it produces. Participants work with worked calculations rather than theory, and the digital templates on the platform let them repeat the methods on their own data.

What does it teach about forecast bias?

Module six treats bias as a diagnosable fault rather than bad luck. Participants learn the anatomy of forecast error, the main accuracy metrics and what each hides, how to detect systematic over- or under-forecasting, and how to monitor it with tracking signals and control charts. Module three adds the human side, covering the judgmental biases that creep into consensus meetings.

How are ABC and VED analysis connected in the inventory modules?

Module nine builds ABC classification from annual consumption value and the Pareto curve, then assigns control policies by class. Module ten adds the dimension ABC misses: criticality. Items are scored as vital, essential or desirable, and policies are differentiated again. Module eleven combines the two into a single matrix and collapses its nine cells into three categories, and module fifteen assigns a policy bundle to each category.

Does the S&OP material suit companies without a formal process?

Yes. Module seven starts from a single planner's forecast and shows how it becomes a consensus demand plan, then describes the monthly S&OP cycle, the one-number plan with its roles and reconciliation, and external collaboration through CPFR and shared demand signals. A company starting out can use it as a blueprint; one with an established cycle can use it to tighten governance.

How do teams study it alongside the monthly planning calendar?

The 30 hours are self-paced on the Blue Ocean learning platform, web and mobile, with no fixed sessions, so planners can work through a module between cycle milestones. Knowledge checks and practice assessments confirm understanding before the next module, and the administrator dashboard lets the L&D lead see progress across the cohort. Planners who complete it successfully earn a digital, verifiable MBE credential.

How do I register for this course?

Use the Register Now button on this page. It opens Mastering Demand Forecasting and Inventory Management on the Blue Ocean Academy website, where you can enroll and start learning at your own pace.

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