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IIF | CPDF I | Certificate in Demand Forecasting Practice

IIF | CPDF I | Certificate in Demand Forecasting Practice


Introduction to Forecasting (Basic Level — Forecasting Principles and Best Practices):

  1. Establish a framework for demand forecasting in the supply chain
  2. Introduce a four-step process for streamlining the forecasting cycle
  3. Define, interpret, visualize major demand forecasting techniques.
  4. Identify appropriate accuracy measures for evaluating demand forecasting methods and models.
  5. Complement established approaches with non-traditional methods in forecasting model development and evaluation
  6. Each Level of the CPDF program consists of both instructor-led workshop training hours, and independent hours to be accomplished through self-paced e-learning environment.


    What is The CPDF®?

    This is a certification program for demand forecasters and planners working in supply chain industries. The International Institute of Forecasters (IIF), a thirty-four year-old non-profit membership organization whose purpose is to advance knowledge and research in forecasting, has endorsed it. The CPDF program is a 200 hours curriculum comprised of three modules, Basic, Master and Pro. Certification can be earned at each of the three levels. The CPDF qualification will address multidimensional job roles in demand forecasting such as data display and validation, database management, dashboard display, understanding quantitative and qualitative projection techniques, model creation and execution, forecast accuracy measurement, model and forecaster performance analysis, organization, and collaborative planning.



    1. International trainers
    2. Trainers have long and global experience in demand management and forecasting.
    3. High quality and excellent style of delivery with participative debate and discussion, case studies.
    4. E-learning service through a unique Online Web Platform designed exclusively for CPDF Students.
    5. 100% Student pass rate, endorsed by past and present students in the region.
    6. Abilities to enhance local demand date with international experience and theories.
    7. Interchange demand forecasting experience management with local culture and knowledge.


    Each Level of the CPDF program consists of both instructor-led workshop training hours, and independent hours to be accomplished through self-paced e-learning environment.


    Get started today!


    Public Classes | In-house customised sessions 


    Booking or email us


    This workshop will benefit practitioners in all industries specifically with the following job responsibilities:

    • Demand Forecasters
    • Supply Chain Managers
    • Demand Planners
    • Supply Planners
    • Production Managers
    • Operations Managers
    • Financial Analysts
    • Market Analysts
    • Researchers

    Day 1

    Part 0 - Pre-course Computer Workshop


    Part I - Demand Forecasting in the Supply Chain

    • What is demand forecasting?
    • Demand Forecasting and the evolution of Supply Chain
    • Who will use the forecast and what are their data needs?
    • Forecasting as a structured process– The PEER Model

    Workshop 1: Uncovering Drivers of Demand for New Product/ Services Forecasting


    Part II - Framing the Demand Forecasting Job

    • Data exploration– Learning from actual examples
    • Judging the quality of data
    • Handling unusual events and outliers
    • What are forecasting models?- Quantitative vs. qualitative methods 
    • Evaluating forecasts and forecasting models
    • Combining and reconciling the final forecast


    Workshop 2: Exploring Trend and Seasonal Variation.

    Cases: Ice Cream and Tourism


    Industry Part III - How To Use Components of a Time Series

    • Moving averages for smoothing kinks out of data
    • Finding the lift in promotions with moving medians
    • Identifying day-of-week effects through ANOVA methods
    • Creating additive and multiplicative seasonal factors
    • Seasonal adjustment of time series


    Workshop 3: Creating Projections with the RMA Decomposition Technique. Cases: Automobile and Energy Industry


    Part IV – Forecasting with Exponential Smoothing Models

    • Why use Naïve forecasting techniques?
    • Types of smoothing weights
    • Forecasting profiles for exponential smoothing
    • Applying univariate time series techniques
    • Handling special events with exponential smoothing models
    • Scenario forecast
    • Product lifecycle


    Workshop 4: Forecasting with Short-term Forecasting Models : State Space Forecasting Applications


    Day 2


    Part V – Measuring Forecast Accuracy

    • Basis of accuracy measurement: Bias and Precision
    • Forecasting accuracy vs. forecasting errors
    • Goodness of fit versus forecast performance
    • Cost of inaccurate forecasts
    • Waterfall charts and accuracy measurement


    Workshop 5: Root Cause Analysis and Exception Reporting.

    Case: Motorcycle Industry


    Part VI – Tracking Tools

    • Ladder chart for monitoring forecast model results
    • Prediction-Realization Diagram and the business cycle
    • Prediction intervals for time series forecasts
    • Cumulative tracking signals– Trigg’s tracking signal


    Workshop 6: Creating a Time-Phased Order Forecast for Replenishment Planning


    Part VII - Practical Uses of the Forecast

    • Marketing – Promotion planning
    • Sales– Pricing: Elasticities
    • Operations – Safety stock and inventory forecasting
    • Finance – Rolling forecasts


    Workshop 07: Simulated Forecasting Work Cycle.

    Case - Consumer Electronics Industry


    Part VIII - Implementing a Forecasting Process

    • Successful Implementation Strategies
    • Integration with Supply Chain
    • Sales and Operations Planning (S&OP)
    • Best-in-breed demand management

    • Degree or Job experience
    • Reasonable experience in MS Excel
    • Acceptable level of English language
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